493,609 results match your criteria image identification

Metallic Implants in MRI - Hazards and Imaging Artifacts.

Rofo 2021 May 12. Epub 2021 May 12.

Department for Radiology and Neuroradiology, Molecular Imaging North Competence Center (MOIN CC), Section Biomedical Imaging, University Hospital Schleswig-Holstein - Campus Kiel, Kiel University, Germany.

Background:  Magnetic resonance imaging (MRI) is an examination method for noninvasive soft tissue imaging without the use of ionizing radiation. Metallic implants, however, may pose a risk for the patient and often result in imaging artifacts. Due to the increasing number of implants, reducing these artifacts has become an important goal. Read More

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Segmenting lung lesions of COVID-19 from CT images via pyramid pooling improved Unet.

Biomed Phys Eng Express 2021 May 12. Epub 2021 May 12.

Chongqing University, No.174 Shazhengjie, Chongqing, Sichuan, 400044, CHINA.

Segmenting lesion regions of Coronavirus Disease 2019 (COVID-19) from computed tomography (CT) images is a challenge owing to COVID-19 lesions characterized by high variation, low contrast between infection lesions and around normal tissues, and blurred boundaries of infections. Moreover, a shortage of available CT dataset hinders deep learning techniques applying to tackling COVID-19. To address these issues, we propose a deep learning-based approach known as PPM-Unet to segmenting COVID-19 lesions from CT images. Read More

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Ultrasound deep beamforming using a multiconstrained hybrid generative adversarial network.

Med Image Anal 2021 Apr 28;71:102086. Epub 2021 Apr 28.

Fudan University, Department of Electronic Engineering, Shanghai 200433, China; Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, Shanghai 200032, China. Electronic address:

Ultrasound beamforming is a principal factor in high-quality ultrasound imaging. The conventional delay-and-sum (DAS) beamformer generates images with high computational speed but low spatial resolution; thus, many adaptive beamforming methods have been introduced to improve image qualities. However, these adaptive beamforming methods suffer from high computational complexity, which limits their practical applications. Read More

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Towards improved breast mass detection using dual-view mammogram matching.

Med Image Anal 2021 Apr 22;71:102083. Epub 2021 Apr 22.

Inserm, LaTIM UMR 1101, 22 rue Camille Desmoulins, Brest 29238, France; IMT Atlantique, Technopôle Brest-Iroise, Brest 29238, France.

Breast cancer screening benefits from the visual analysis of multiple views of routine mammograms. As for clinical practice, computer-aided diagnosis (CAD) systems could be enhanced by integrating multi-view information. In this work, we propose a new multi-tasking framework that combines craniocaudal (CC) and mediolateral-oblique (MLO) mammograms for automatic breast mass detection. Read More

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Artificial intelligence and machine learning for medical imaging: A technology review.

Phys Med 2021 May 9;83:242-256. Epub 2021 May 9.

Molecular Imaging, Radiation and Oncology (MIRO) Laboratory, UCLouvain, Belgium.

Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence of disruptive technical advances and impressive experimental results, notably in the field of image analysis and processing. In medicine, specialties where images are central, like radiology, pathology or oncology, have seized the opportunity and considerable efforts in research and development have been deployed to transfer the potential of AI to clinical applications. With AI becoming a more mainstream tool for typical medical imaging analysis tasks, such as diagnosis, segmentation, or classification, the key for a safe and efficient use of clinical AI applications relies, in part, on informed practitioners. Read More

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Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods.

J Magn Reson Imaging 2021 May 12. Epub 2021 May 12.

Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, People's Republic of China.

Background: Radiomics has shown promising results in the diagnosis, efficacy, and prognostic assessments of multiple myeloma (MM). However, little evidence exists on the utility of radiomics in predicting a high-risk cytogenetic (HRC) status in MM.

Purpose: To develop and test a magnetic resonance imaging (MRI)-based radiomics model for predicting an HRC status in MM patients. Read More

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A fast and effective detection framework for whole-slide histopathology image analysis.

PLoS One 2021 12;16(5):e0251521. Epub 2021 May 12.

Department of Pathology, Huazhong University of Science and Technology, Tongji Medical College, Hubei Cancer Hospital, Wuhan, China.

Pathologists generally pan, focus, zoom and scan tissue biopsies either under microscopes or on digital images for diagnosis. With the rapid development of whole-slide digital scanners for histopathology, computer-assisted digital pathology image analysis has attracted increasing clinical attention. Thus, the working style of pathologists is also beginning to change. Read More

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Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks.

PLoS One 2021 12;16(5):e0251388. Epub 2021 May 12.

Department of Forensic Medicine, Chonnam National University, Gwangju, South Korea.

Age assessment has attracted increasing attention in the field of forensics. However, most existing works are laborious and requires domain-specific knowledge. Modern computing power makes it is possible to leverage massive amounts of data to produce more reliable results. Read More

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Infrared thermal imaging monitoring on hands when performing repetitive tasks: An experimental study.

PLoS One 2021 12;16(5):e0250733. Epub 2021 May 12.

Faculty of Chemical Sciences and Engineering, Autonomous University of Baja California, Tijuana, Mexico.

The monitoring of infrared thermal images is reported to analyze changes in skin temperature in the hand fingers when repetitive work is performed to know which finger has a greater risk of injury, besides, the recovery time is analyzed regarding the initial temperature and its relationship with age, sex, weight, height if practice sports, and Body Mass Index (BMI) per individual. For the above, an experimental test was carried out for 10 minutes on a repetitive operation that takes place in the telecommunications industry and 39 subjects participated in which an infrared thermal image of the dorsal and palmar part of both hands was taken in periods of 5 minutes after the 10-minute test has elapsed. The results show that none of the participants recovered their initial temperature after 10 minutes of the experimental test. Read More

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EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks.

PLoS One 2021 12;16(5):e0250631. Epub 2021 May 12.

School of Control Engineering, Chengdu University of Information Technology, Chengdu, China.

Environmental Microorganism Data Set Fifth Version (EMDS-5) is a microscopic image dataset including original Environmental Microorganism (EM) images and two sets of Ground Truth (GT) images. The GT image sets include a single-object GT image set and a multi-object GT image set. EMDS-5 has 21 types of EMs, each of which contains 20 original EM images, 20 single-object GT images and 20 multi-object GT images. Read More

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Cross-Subject Zero Calibration Driver's Drowsiness Detection: Exploring Spatiotemporal Image Encoding of EEG Signals For Convolutional Neural Network Classification.

IEEE Trans Neural Syst Rehabil Eng 2021 May 12;PP. Epub 2021 May 12.

This paper explores two methodologies for drowsiness detection using EEG signals in a sustained-attention driving task considering pre-event time windows, and focusing on cross-subject zero calibration. Driving accidents are a major cause of injuries and deaths on the road. A considerable portion of those are due to fatigue and drowsiness. Read More

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Efficient Center Voting for Object Detection and 6D Pose Estimation in 3D Point Cloud.

IEEE Trans Image Process 2021 May 12;PP. Epub 2021 May 12.

We present a novel and efficient approach to estimate 6D object poses of known objects in complex scenes represented by point clouds. Our approach is based on the well-known point pair feature (PPF) matching, which utilizes self-similar point pairs to compute potential matches and thereby cast votes for the object pose by a voting scheme. The main contribution of this paper is to present an improved PPF-based recognition framework, especially a new center voting strategy based on the relative geometric relationship between the object center and point pair features. Read More

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A Generalized Asymmetric Dual-front Model for Active Contours and Image Segmentation.

IEEE Trans Image Process 2021 May 12;PP. Epub 2021 May 12.

The Voronoi diagram-based dual-front scheme is known as a powerful and efficient technique for addressing the image segmentation and domain partitioning problems. In the basic formulation of existing dual-front approaches, the evolving contour can be considered as the interfaces of adjacent Voronoi regions. Among these dual-front models, a crucial ingredient is regarded as the geodesic metrics by which the geodesic distances and the corresponding Voronoi diagram can be estimated. Read More

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Reversible Data Hiding Based on Dual Pairwise Prediction-error Expansion.

IEEE Trans Image Process 2021 May 12;PP. Epub 2021 May 12.

Reversible data hiding generally exploits the redundancy of the cover medium and prediction-error expansion (PEE) has become the most effective mechanism. However, although the pairwise PEE technique has been proposed to jointly modify the prediction-errors to achieve less degradation, there is still room for improvement. In this paper, a dual pairwise PEE strategy is proposed to fully exploit the potential of pairwise PEE. Read More

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Model-Guided Deep Hyperspectral Image Super-resolution.

IEEE Trans Image Process 2021 May 12;PP. Epub 2021 May 12.

The trade-off between spatial and spectral resolution is one of the fundamental issues in hyperspectral images (HSI). Given the challenges of directly acquiring high-resolution hyperspectral images (HR-HSI), a compromised solution is to fuse a pair of images: one has high-resolution (HR) in the spatial domain but low-resolution (LR) in spectral-domain and the other vice versa. Model-based image fusion methods including pan-sharpening aim at reconstructing HR-HSI by solving manually designed objective functions. Read More

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A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization.

IEEE Trans Image Process 2021 May 12;PP. Epub 2021 May 12.

Four-variable-independent-regression localization losses, such as Smooth-ℓ1 Loss, are used by default in modern detectors. Nevertheless, this kind of loss is oversimplified so that it is inconsistent with the final evaluation metric, intersection over union (IoU). Directly employing the standard IoU is also not infeasible, since the constant-zero plateau in the case of non-overlapping boxes and the non-zero gradient at the minimum may make it not trainable. Read More

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Ghost-Free Deep High-Dynamic-Range Imaging Using Focus Pixels for Complex Motion Scenes.

IEEE Trans Image Process 2021 May 12;PP. Epub 2021 May 12.

Multi-exposure image fusion inevitably causes ghost artifacts owing to inaccurate image registration. In this study, we propose a deep learning technique for the seamless fusion of multi-exposed low dynamic range (LDR) images using a focus-pixel sensor. For auto-focusing in mobile cameras, a focus-pixel sensor originally provides left (L) and right (R) luminance images simultaneously with a full-resolution RGB image. Read More

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Body surface area-based equivalent dose calculation in tree shrew.

Sci Prog 2021 Apr-Jun;104(2):368504211016935

Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Tree shrew (Tupaia belangeri) is a promising experimental animal in biomedical research, but the equivalent doses of drugs between tree shrew and human and other animals has not been explored, which hinders its further application in a wider scope. The main objective of this article is to provide a method of equivalent dose conversion between tree shrews and other species based on body surface area (BSA). BSA of tree shrews were measured by Image J software, and then the average Km value of tree shrews was figured out based on the body weights and BSA, then the conversion coefficients of equivalent dose among tree shrew and other species of experimental animals were calculated based known data. Read More

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Image of the environmental scientist.

Sci Prog 2021 Apr-Jun;104(2):368504211017420

Faculty of Life Sciences, Hefei Normal University, Hefei, China.

The environmental scientist has been playing an important role in preventing and mitigating environmental pollution. Individuals' images of the environmental scientist will likely impact and meditate their interest and attitudes toward environmental science as well as their willingness to take up an environmental science profession. However, prior studies focusing on the image of a professional are primarily of the general scientist. Read More

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In vitro comparison of high-definition US, CBCT and periapical radiography in the diagnosis of proximal and recurrent caries.

Dentomaxillofac Radiol 2021 May 12:20210026. Epub 2021 May 12.

Department of Biostatistics, Faculty of Veterinary Medicine, Ankara University, Ankara, Turkey.

Objective: To assess the performance of high-definition (HD) US, CBCT and periapical radiography for the visibility of proximal and recurrent caries in teeth with and without restoration.

Methods: A total of 240 molar teeth were divided into eight groups each comprised of 30 teeth. Control groups consisted of teeth without caries (Group 1-4; = 120), whereas diseased groups consisted of teeth with proximal caries (Group 5-8; = 120 teeth). Read More

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4D-STEM of Beam-Sensitive Materials.

Acc Chem Res 2021 May 12. Epub 2021 May 12.

National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States.

ConspectusScanning electron nanobeam diffraction, or 4D-STEM (four-dimensional scanning transmission electron microscopy), is a flexible and powerful approach to elucidate structure from "soft" materials that are challenging to image in the transmission electron microscope because their structure is easily damaged by the electron beam. In a 4D-STEM experiment, a converged electron beam is scanned across the sample, and a pixelated camera records a diffraction pattern at each scan position. This four-dimensional data set can be mined for various analyses, producing maps of local crystal orientation, structural distortions, crystallinity, or different structural classes. Read More

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Deep Learning-based Diagnosis of Glaucoma Using Wide-field Optical Coherence Tomography Images.

J Glaucoma 2021 May 12. Epub 2021 May 12.

Department of Electrical Engineering, Hanyang University, Seoul, Korea Department of Ophthalmology, Hanyang University College of Medicine, Seoul, Korea Department of Ophthalmology, Hanyang University Seoul Hospital, Seoul, Korea Department of Ophthalmology, Hanyang University Guri Hospital, Guri, Korea.

Purpose: (1) To evaluate the performance of a deep learning (DL) classifier in detecting glaucoma, based on wide-field swept-source optical coherence tomography (SS-OCT) images. (2) To assess the performance of DL-based fusion methods in diagnosing glaucoma using a variety of wide-field SS-OCT images and compare their diagnostic abilities with that of conventional parameter-based methods.

Methods: Overall, 675 eyes, including 258 healthy eyes and 417 eyes with glaucoma were enrolled in this retrospective observational study. Read More

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Relationship Between Macular Vessel Density and Total Retinal Blood Flow in Primary Open-angle Glaucoma.

J Glaucoma 2021 May 12. Epub 2021 May 12.

Department of Ophthalmology, University of Southern California, Los Angeles, CA, USA Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, USA.

Prcis: An association between macular vessel density and total retinal blood flow was demonstrated in subjects with primary open-angle glaucoma and visual field loss.

Purpose: To report relationships of macular vessel density metrics and total retinal blood flow in primary open-angle glaucoma (POAG).

Materials And Methods: A total of 24 POAG and 19 healthy control subjects participated in the study. Read More

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A deep learning system to diagnose the malignant potential of urothelial carcinoma cells in cytology specimens.

Cancer Cytopathol 2021 May 12. Epub 2021 May 12.

Department of Urology, Osaka University Graduate School of Medicine, Osaka, Japan.

Background: Although deep learning algorithms for clinical cytology have recently been developed, their application to practical assistance systems has not been achieved. In addition, whether deep learning systems (DLSs) can perform diagnoses that cannot be performed by pathologists has not been fully evaluated.

Methods: The authors initially obtained low-power field cytology images from archived Papanicolaou-stained urinary cytology glass slides from 232 patients. Read More

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Clinical, radiological and functional outcome of posterior-only three-column osteotomy in healed, post-tubercular kyphotic deformity: a minimum of 2-year follow-up.

Spine Deform 2021 May 12. Epub 2021 May 12.

Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.

Purpose: To describe clinical, radiological and functional outcomes of patients with post-tubercular healed kyphosis operated by posterior-only three-column osteotomy.

Methods: The hospital records of 47 patients from a single center, operated for healed, post-tubercular kyphosis were retrospectively analyzed. Deformity correction in all patients was done utilizing a three-column osteotomy by a single-stage, posterior-only approach. Read More

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Characithecium spp. (Monogenea: Dactylogyridae) from Astyanax bimaculatus (Characiformes: Characidae) in Northeast Brazil, with Description of a New Species.

Acta Parasitol 2021 May 12. Epub 2021 May 12.

Department of Biological Sciences, Regional University of Cariri (Urca), Rua Coronel Antônio Luiz, n° 1,161, Crato, Ceará, 63105-000, Brazil.

Purpose: To date, seven species of Characithecium Mendonza-Franco, Reina and Torchin, 2009 (Monogenea, Dactylogyridae) are valid, parasitizing mainly fishes of the family Characidae (Characiformes) in the Neotropical region. During a parasitological study of fishes in the Batateiras River and Carás stream, Ceará state, Brazil, two species of Characithecium were collected from the gills of Astyanax bimaculatus Linnaeus, 1758 (Characidae). The purpose of the present study is to describe a new species of monogenean of the genus Characithecium and report Characithecium costaricensis Mendoza-Franco, Reina and Torchin, 2009 in A. Read More

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Automatic extraction of the mitral valve chordae geometry for biomechanical simulation.

Int J Comput Assist Radiol Surg 2021 May 12. Epub 2021 May 12.

CNRS, Inria, LORIA, Université de Lorraine, Nancy, France.

Purpose: Mitral valve computational models are widely studied in the literature. They can be used for preoperative planning or anatomical understanding. Manual extraction of the valve geometry on medical images is tedious and requires special training, while automatic segmentation is still an open problem. Read More

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Detection of microaneurysms and hemorrhages based on improved Hessian matrix.

Int J Comput Assist Radiol Surg 2021 May 12. Epub 2021 May 12.

School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Purpose: Knowing the early lesion detection of fundus images is very important to prevent blindness, and accurate lesion segmentation can provide doctors with diagnostic evidence. This study proposes a method based on improved Hessian matrix eigenvalue analysis to detect microaneurysms and hemorrhages in the fundus images of diabetic patients.

Methods: A two-step method including identification of lesion candidate regions and classification of candidate regions is adopted. Read More

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Noninvasive evaluation of tumor immune microenvironment in patients with clear cell renal cell carcinoma using metabolic parameter from preoperative 2-[F]FDG PET/CT.

Eur J Nucl Med Mol Imaging 2021 May 12. Epub 2021 May 12.

Department of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.

Purpose: Nowadays, it is necessary to explore effective biomarkers associated with tumor immune microenvironment (TIME) noninvasively. Here, we investigated whether the metabolic parameter from preoperative 2-[F]FDG PET/CT could provide information related to TIME in patients with clear cell renal cell carcinoma (ccRCC).

Methods: Ninety patients with newly diagnosed ccRCC who underwent 2-[F]FDG PET/CT prior to surgery were retrospectively reviewed. Read More

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"Self-testimony of a Past Present": Reuses of Historical Film Documents.

NTM 2021 May 12. Epub 2021 May 12.

Institut für Musik- und Medienwissenschaft, Humboldt-Universität zu Berlin, Georgenstr. 47, 10117, Berlin, Germany.

Has the history of film digitization ever been incorporated in questions of evidence and knowledge production? The digitization of thousands of films from the former Institute for Scientific Film (IWF) that is currently underway gives an occasion to think about the provenance and reuses of filmic images as well as the ways in which they claim to produce scientific (or in this case, historical) evidence. In the years between 1956 and 1960, the German Social Democrat, historian and filmmaker Friedrich "Fritz" Terveen initiated a film series that used historical found film footage in order to educate university students about contemporary history. The first small series of films was entitled Airship Aviation in Germany which consisted of four short films using found footage of zeppelin flights, of which the earliest images stem from around 1904 and the latest from 1937, the moment of the "Hindenburg disaster. Read More

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