50,531 results match your criteria body image


Psychological Connection to the Gay Community and Negative Self-Appraisals in Middle-Aged and Older Men Who Have Sex with Men: The Mediating Effects of Fitness Engagement.

J Gerontol B Psychol Sci Soc Sci 2021 May 4. Epub 2021 May 4.

Department of Medicine, Division of General Internal Medicine, Georgetown University.

Objectives: Connections to the gay community may elicit negative self-appraisals among men who have sex with men (MSM), which may be exacerbated for people with HIV (PWH). Fitness engagement may mediate self-appraisals by maintaining or improving appearance and health. We hypothesized that gay community connections would be positively related to negative self-appraisal and explored whether this association would be mediated by fitness engagement and moderated by HIV status. Read More

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A multi-state occupancy model to non-invasively monitor visible signs of wildlife health with camera traps that accounts for image quality.

J Anim Ecol 2021 May 3. Epub 2021 May 3.

Department of Conservation and Science, Lincoln Park Zoo, Chicago, Illinois, 60614, USA.

Camera traps are an increasingly popular tool to monitor wildlife distributions. However, traditional analytical approaches to camera trap data are difficult to apply to visible wildlife characteristics in single images, such as infection status. Several parasites produce visible signs of infection that could be sampled via camera traps. Read More

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iRFP (near-infrared fluorescent protein) imaging of subcutaneous and deep tissue tumours in mice highlights differences between imaging platforms.

Cancer Cell Int 2021 May 3;21(1):247. Epub 2021 May 3.

Tumour Suppressors Group, CRUK Manchester Institute, University of Manchester, Alderley Park, Manchester, SK10 4TG, UK.

Background: In vivo imaging using fluorescence is used in cancer biology for the detection, measurement and monitoring of tumours. This can be achieved with the expression of fluorescent proteins such as iRFP, which emits light at a wavelength less attenuated in biological tissues compared to light emitted by other fluorescent proteins such as GFP or RFP. Imaging platforms capable of detecting fluorescent tumours in small animals have been developed but studies comparing the performance of these platforms are scarce. Read More

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Study protocol of the LARK (TROG 17.03) clinical trial: a phase II trial investigating the dosimetric impact of Liver Ablative Radiotherapy using Kilovoltage intrafraction monitoring.

BMC Cancer 2021 May 3;21(1):494. Epub 2021 May 3.

ACRF Image X Institute, Sydney, NSW, Australia.

Background: Stereotactic Ablative Body Radiotherapy (SABR) is a non-invasive treatment which allows delivery of an ablative radiation dose with high accuracy and precision. SABR is an established treatment for both primary and secondary liver malignancies, and technological advances have improved its efficacy and safety. Respiratory motion management to reduce tumour motion and image guidance to achieve targeting accuracy are crucial elements of liver SABR. Read More

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Self-compassion and dissonance-based interventions for body image distress in young adult women.

Body Image 2021 Apr 30;38:191-200. Epub 2021 Apr 30.

Emory University, Department of Psychology, 36 Eagle Row, Atlanta, GA, 30322, USA. Electronic address:

Self-compassion interventions have been suggested as a potentially more acceptable way to address body image distress compared to interventions that emphasize challenging (often firmly entrenched) thin-ideals. In the current randomized controlled trial, young adult women endorsing body image concerns were randomized to a self-compassion (SC) intervention consisting of one in-person session plus one week of self-guided practice (n = 50), a similarly-structured dissonance-based (DB) intervention (n = 50), or a waitlist (WL) control (n = 51). Both brief interventions were acceptable and were more effective than WL. Read More

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Targeting body image in eating disorders.

Curr Opin Psychol 2021 Apr 8;41:71-77. Epub 2021 Apr 8.

Department of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom. Electronic address:

Eating disorders, such as anorexia nervosa, are challenging to treat successfully and have a very high relapse rate. Body image disturbance (BID) is a core component of these eating disorders. It is a predictor of onset, treatment outcome and future relapse. Read More

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Hydrodynamical effect of parallelly swimming fish using computational fluid dynamics method.

PLoS One 2021 3;16(5):e0250837. Epub 2021 May 3.

Graduate school of Agriculture, Kindai University, Nakamachi, Nara, Japan.

Fish form schools because of many possible reasons. However, the hydrodynamic mechanism whereby the energy efficiency of fish schools is improved still remains unclear. There are limited examples of fish models based on actual swimming movements using simulation, and the movements in existing models are simple. Read More

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Body image and hopelessness among early-stage breast cancer survivors after surgery in China: A cross-sectional study.

Nurs Open 2021 May 3. Epub 2021 May 3.

The Second Surgical Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.

Aim: To examine the body image and hopelessness status of early-stage breast cancer survivors who received a one-time dressing change after surgery and were ready to be discharged from a hospital in China.

Design: A cross-sectional study.

Methods: Participants were 211 women with breast cancer who had received a one-time dressing change postsurgery. Read More

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The Extrastriate Body Area and identity processing: An fMRI guided TMS study.

Physiol Rep 2021 Apr;9(8):e14711

Aix Marseille Univ, CNRS, ISM, Marseille, France.

The extrastriate body area (EBA) is a body-selective focal region located in the lateral occipito-temporal cortex that responds strongly to images of human bodies and body parts in comparison with other classes of stimuli. Whether EBA contributes also to the body recognition of self versus others remains in debate. We investigated whether EBA contributes to self-other distinction and whether there might be a hemispheric-side specificity to that contribution using double-pulse transcranial magnetic stimulation (TMS) in right-handed participants. Read More

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CT-less Direct Correction of Attenuation and Scatter in the Image Space Using Deep Learning for Whole-Body FDG PET: Potential Benefits and Pitfalls.

Radiol Artif Intell 2021 Mar 2;3(2):e200137. Epub 2020 Dec 2.

Department of Radiology and Biomedical Imaging (J.Y., J.H.S., S.C.B., G.TG., Y.S.) and Physics Research Laboratory (J.Y., G.T.G., Y.S.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94143-0946.

Purpose: To demonstrate the feasibility of CT-less attenuation and scatter correction (ASC) in the image space using deep learning for whole-body PET, with a focus on the potential benefits and pitfalls.

Materials And Methods: In this retrospective study, 110 whole-body fluorodeoxyglucose (FDG) PET/CT studies acquired in 107 patients (mean age ± standard deviation, 58 years ± 18; age range, 11-92 years; 72 females) from February 2016 through January 2018 were randomly collected. A total of 37. Read More

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Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies.

Radiol Artif Intell 2020 Nov 28;2(6):e200010. Epub 2020 Oct 28.

Department of Diagnostic and Interventional Radiology, Medical Image and Data Analysis, University Hospital Tübingen, Hoppe-Seyler-Str 3, 72076 Tübingen, Germany (T.K., T.H., M.F., K.N., S.G.); Department of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany (T.K., M.F., M.S., B.Y.); School of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, London, England (T.K.); Department of Empirical Inference, Max-Planck Institute for Intelligent Systems, Tübingen, Germany (T.H.); Department of Diagnostic and Interventional Radiology, Section of Experimental Radiology, University Hospital Tübingen, Tübingen, Germany (M.F., M.S., F.S., J.M.); Department of Internal Medicine IV, Eberhard Karls University, Tübingen, Germany (A.F.); Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Zentrum München, University of Tübingen, Tübingen, Germany (A.F., F.S., J.M.); German Center for Diabetes Research (DZD), Tübingen, Germany (A.F., H.U.H., F.S., J.M.); and Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany (F.B.).

Purpose: To enable fast and reliable assessment of subcutaneous and visceral adipose tissue compartments derived from whole-body MRI.

Materials And Methods: Quantification and localization of different adipose tissue compartments derived from whole-body MR images is of high interest in research concerning metabolic conditions. For correct identification and phenotyping of individuals at increased risk for metabolic diseases, a reliable automated segmentation of adipose tissue into subcutaneous and visceral adipose tissue is required. Read More

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November 2020

Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions.

Radiol Artif Intell 2019 Jan 30;1(1):e180031. Epub 2019 Jan 30.

Department of Radiology, The Ohio State University Wexner Medical Center, 395 West 12th Ave, 4th Floor, Room 422, Columbus, OH 43210 (L.M.P.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (S.S.H.); Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Diagnostic Radiology, University of Texas-MD Anderson Cancer Center, Houston, Tex (C.C.W.); Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, Calif (M.D.K.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Ga (F.H.C.); Department of Radiology, Mayo Clinic, Rochester, Minn (B.J.E.); Department of Radiology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Mass (J.K.C.); Department of Radiology, Brigham and Women's Hospital, Massachusetts General Hospital and BWH Center for Clinical Data Science, Boston, Mass (K.P.A.); and Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, Pa (A.E.F.).

In recent years, there has been enormous interest in applying artificial intelligence (AI) to radiology. Although some of this interest may have been driven by exaggerated expectations that the technology can outperform radiologists in some tasks, there is a growing body of evidence that illustrates its limitations in medical imaging. The true potential of the technique probably lies somewhere in the middle, and AI will ultimately play a key role in medical imaging in the future. Read More

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January 2019

Zooming into cosmetic procedures during the COVID-19 pandemic: The provider's perspective.

Int J Womens Dermatol 2021 Mar 12;7(2):213-216. Epub 2021 Jan 12.

Massachusetts General Hospital, Department of Dermatology, Boston, MA, United States.

The COVID-19 pandemic has seen a massive shift toward virtual living, with video-conferencing now a primary means of communication for both work and social events. Individuals are finding themselves staring at their own video reflection, often for hours a day, scrutinizing a distorted image on screen and developing a negative self-perception. This survey study of over 100 board-certified dermatologists across the country elucidates a new problem of Zoom dysmorphia, where patients seek cosmetic procedures to improve their distorted appearance on video-conferencing calls. Read More

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An Improved Method of Automated Noise Measurement System in CT Images.

J Biomed Phys Eng 2021 Apr 1;11(2):163-174. Epub 2021 Apr 1.

PhD, Department of Applied Physics and Medical Imaging, California State University Channel Islands, Camarillo, CA 93012, USA.

Background: It is necessary to have an automated noise measurement system working accurately to optimize dose in computerized tomography (CT) examinations.

Objective: This study aims to develop an algorithm to automate noise measurement that can be implemented in CT images of all body regions.

Materials And Methods: In this retrospective study, our automated noise measurement method consists of three steps as follows: the first is segmenting the image of the patient. Read More

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A Novel Phantom and a Dedicated Developed Software for Image Quality Controls in X-Ray Intraoral Devices.

J Biomed Phys Eng 2021 Apr 1;11(2):151-162. Epub 2021 Apr 1.

PhD, Department of Biomedical and Dental Sciences and Morphofunctional Imaging (BIOMORF), University of Messina, Italy.

Background: Periodic quality control (QC) procedures are important in order to guarantee the image quality of radiological equipment and are also conducted using phantoms simulating human body.

Objective: To perform (QC) measurements in intraoral imaging devices, a new and simple phantom was manufactured. Besides, to simplify QC procedures, computerized LabView-based software has been devised, enabling determination of image quantitative parameters in real time or during post processing. Read More

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Body satisfaction of female staff members working in primary schools in Mangaung, Bloemfontein.

Health SA 2021 30;26:1555. Epub 2021 Mar 30.

Department of Biostatistics, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.

Background: The role of psychosocial determinants of overweight and obesity is receiving attention in South African literature. South Africans tend to exhibit an inaccurate perception of their body weight.

Aims: The purpose of this study was to determine levels of body satisfaction in female staff members working in primary schools in Mangaung, Bloemfontein. Read More

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Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease.

Front Neurol 2021 15;12:609866. Epub 2021 Apr 15.

Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.

Freezing of gait (FOG) has devastating consequences for patients with Parkinson's disease (PD), but the underlying pathophysiological mechanism is unclear. This was investigated in the present study by integrated structural and functional connectivity analyses of PD patients with or without FOG (PD FOG+ and PD FOG-, respectively) and healthy control (HC) subjects. We performed resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging of 24 PD FOG+ patients, 37 PD FOG- patients, and 24 HCs. Read More

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The Use of Deep Learning and VR Technology in Film and Television Production From the Perspective of Audience Psychology.

Front Psychol 2021 18;12:634993. Epub 2021 Mar 18.

College of Business, Gachon University, Seoul, South Korea.

As the development of artificial intelligence (AI) technology, the deep-learning (DL)-based Virtual Reality (VR) technology, and DL technology are applied in human-computer interaction (HCI), and their impacts on modern film and TV works production and audience psychology are analyzed. In film and TV production, audiences have a higher demand for the verisimilitude and immersion of the works, especially in film production. Based on this, a 2D image recognition system for human body motions and a 3D recognition system for human body motions based on the convolutional neural network (CNN) algorithm of DL are proposed, and an analysis framework is established. Read More

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The Tactile-Visual Conflict Processing and Its Modulation by Tactile-Induced Emotional States: An Event-Related Potential Study.

Front Psychol 2021 14;12:616224. Epub 2021 Apr 14.

School of Public Health and Management, Chongqing Medical University, Chongqing, China.

This experiment used event-related potentials (ERPs) to study the tactile-visual information conflict processing in a tactile-visual pairing task and its modulation by tactile-induced emotional states. Eighteen participants were asked to indicate whether the tactile sensation on their body matched or did not match the expected tactile sensation associated with the object depicted in an image. The type of tactile-visual stimuli (matched vs. Read More

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Bidirectional Mapping of Brain MRI and PET With 3D Reversible GAN for the Diagnosis of Alzheimer's Disease.

Front Neurosci 2021 9;15:646013. Epub 2021 Apr 9.

Combining multi-modality data for brain disease diagnosis such as Alzheimer's disease (AD) commonly leads to improved performance than those using a single modality. However, it is still challenging to train a multi-modality model since it is difficult in clinical practice to obtain complete data that includes all modality data. Generally speaking, it is difficult to obtain both magnetic resonance images (MRI) and positron emission tomography (PET) images of a single patient. Read More

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Can reducing planning safety margins broaden the inclusion criteria for lung stereotactic ablative body radiotherapy?

J Med Radiat Sci 2021 May 2. Epub 2021 May 2.

South Western Clinical School, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.

Introduction: Stereotactic ablative body radiotherapy (SABR) is currently indicated for inoperable, early-stage non-small cell lung carcinoma (NSCLC). Advancements in image-guidance technology continue to improve treatment precision and enable reductions in planning safety margins. We investigated the dosimetric benefits of margin reduction, its potential to extend SABR to more NSCLC patients and the factors influencing plan acceptability. Read More

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Feasibility of equivalent performance of 3D TOF [F]-FDG PET/CT with reduced acquisition time using clinical and semiquantitative parameters.

EJNMMI Res 2021 May 1;11(1):44. Epub 2021 May 1.

Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.

Background: High-performance time-of-flight (TOF) positron emission tomography (PET) systems have the capability for rapid data acquisition while preserving diagnostic image quality. However, determining a reliable and clinically applicable cut-off of the acquisition time plays an important role in routine practice. This study aimed to assess the diagnostic equivalence of short acquisition time of 57 with routine 75 seconds per bed position (s/BP) of [F]-fluoro-deoxy-glucose (FDG) PET. Read More

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Breastfeeding, body image, and weight control behavior among postpartum women.

Body Image 2021 Apr 29;38:201-209. Epub 2021 Apr 29.

Rutgers University, USA. Electronic address:

The goal of this study was to examine breastfeeding behavior and attitudes as predictors of women's body image and weight control behavior. This study extends past research by focusing on positive body image variables including body appreciation and perceived body functionality. Women (N = 597) from the United States who had recently birthed biological babies ages 0-12 months participated in an online study. Read More

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"Pretty hurts": Acceptance of hegemonic feminine beauty ideals and reduced sexual well-being among Black women.

Body Image 2021 Apr 29;38:181-190. Epub 2021 Apr 29.

Department of Psychology, Macalester College, 1600 Grand Avenue, Saint Paul, MN, 55105, USA. Electronic address:

Although women are expected to idealize and achieve hegemonic feminine beauty standards such as being slender and lighter skinned, few studies have examined how women's investment in achieving these restrictive feminine appearance ideals may influence their sexual attitudes and behaviors. Even less is known about Black women. We surveyed 640 Black college women to test hypotheses that endorsement of hegemonic beauty ideals would be positively associated with four dimensions of negative sexual affect (sexual guilt, shame, emotional distancing, and self-consciousness) and negatively associated with two dimensions of sexual agency (sexual assertiveness and satisfaction). Read More

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Targets of comparison and body image in women's everyday lives: The role of perceived attainability.

Body Image 2021 Apr 28;38:219-229. Epub 2021 Apr 28.

School of Psychology, UNSW Sydney, Sydney, New South Wales, 2052, Australia.

Appearance comparisons can negatively influence women's body image, but little is known about the potential impact of comparison targets. We conducted an ecological momentary assessment study in which female undergraduate students (N = 146) completed a brief online survey at five random times every day for five days. In this survey, participants were asked if they had made an appearance comparison. Read More

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Body image disturbance partially explains eating-related psychosocial impairment in food addiction.

Eat Behav 2021 Apr 27;41:101512. Epub 2021 Apr 27.

Department of Psychology, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada. Electronic address:

Background: This study aimed to explore the association of food addiction (FA) with eating-related psychosocial impairment and examine the extent to which this association was explained directly by FA symptoms themselves, versus through body image disturbance.

Materials And Methods: Participants (356 university students and 544 crowdsourced adults) completed self-report measures of FA (Yale Food Addiction Scale; YFAS 2.0), psychosocial impairment (Clinical Impairment Assessment; CIA 3. Read More

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Case series on stereotactic body radiation therapy in non-ischemic cardiomyopathy patients with recurrent ventricular tachycardia.

Pacing Clin Electrophysiol 2021 May 1. Epub 2021 May 1.

Heart Rhythm Center, Division of Cardiology, Department of Internal Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.

Introduction: The efficacy of stereotactic body radiation therapy (SBRT) as an alternative treatment for recurrent ventricular tachycardia (VT) is still unclear. This study aimed to report the outcome of SBRT in VT patients with nonischemic cardiomyopathy (NICM).

Methods: The determination of the target substrate for radiation was based on the combination of CMR results and electroanatomical mapping merged with the real-time CT scan image. Read More

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A Prospective Single-Arm Study Evaluating the Effects of a Multimodal Physical Therapy Intervention on Psychosexual Outcomes in Women With Dyspareunia After Gynecologic Cancer.

J Sex Med 2021 Apr 27. Epub 2021 Apr 27.

School of Rehabilitation, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada; Research Center of the Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada. Electronic address:

Background: Dyspareunia affects most women after treatment for gynecologic malignancies. However, to date, evidence-based interventions remain limited and no study has examined the effects of multimodal physical therapy on psychosexual outcomes in these patients.

Aim: To assess the effects of multimodal physical therapy on psychosexual outcomes including sexual distress, body image concerns, pain anxiety, pain catastrophizing, pain self-efficacy and depressive symptoms in women with dyspareunia after treatment for gynecologic malignancies. Read More

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An integrated augmented reality surgical navigation platform using multi-modality imaging for guidance.

PLoS One 2021 30;16(4):e0250558. Epub 2021 Apr 30.

TECHNA Institute, University Health Network, Toronto, ON, Canada.

An integrated augmented reality (AR) surgical navigation system that potentially improves intra-operative visualization of concealed anatomical structures. Integration of real-time tracking technology with a laser pico-projector allows the surgical surface to be augmented by projecting virtual images of lesions and critical structures created by multimodality imaging. We aim to quantitatively and qualitatively evaluate the performance of a prototype interactive AR surgical navigation system through a series of pre-clinical studies. Read More

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Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies.

Invest Radiol 2021 Jun;56(6):401-408

From the Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK.

Purpose: The aims of this study were to train and evaluate deep learning models for automated segmentation of abdominal organs in whole-body magnetic resonance (MR) images from the UK Biobank (UKBB) and German National Cohort (GNC) MR imaging studies and to make these models available to the scientific community for analysis of these data sets.

Methods: A total of 200 T1-weighted MR image data sets of healthy volunteers each from UKBB and GNC (400 data sets in total) were available in this study. Liver, spleen, left and right kidney, and pancreas were segmented manually on all 400 data sets, providing labeled ground truth data for training of a previously described U-Net-based deep learning framework for automated medical image segmentation (nnU-Net). Read More

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