Front Sports Act Living 2020 14;2:67. Epub 2020 Jul 14.
Faculty of Kinesiology, University of Split, Split, Croatia.
Fa Yi Xue Za Zhi 2022 Feb;38(1):46-52
Department of Forensic Medicine, Nanjing Medical University, Nanjing 211126, China.
Objectives: To construct a YOLOv3-based model for diatom identification in scanning electron microscope images, explore the application performance in practical cases and discuss the advantages of this model.Methods: A total of 25 000 scanning electron microscopy images were collected at 1 500× as an initial image set, and input into the YOLOv3 network to train the identification model after experts' annotation and image processing. Diatom scanning electron microscopy images of lung, liver and kidney tissues taken from 8 drowning cases were identified by this model under the threshold of 0. Read More
Sensors (Basel) 2022 Apr 21;22(9). Epub 2022 Apr 21.
Faculty of Engineering, University of Central Punjab (UCP), Lahore 54000, Pakistan.
To study and understand the importance of Internet of Things-driven citizen science (IoT-CS) combined with data satisficing, we set up and undertook a citizen science experiment for air quality (AQ) in four Pakistan cities using twenty-one volunteers. We used quantitative methods to analyse the AQ data. Three research questions (RQ) were posed as follows: Which factors affect CS IoT-CS AQ data quality (RQ1)? How can we make science more inclusive by dealing with the lack of scientists, training and high-quality equipment (RQ2)? Can a lack of calibrated data readings be overcome to yield otherwise useful results for IoT-CS AQ data analysis (RQ3)? To address RQ1, an analysis of related work revealed that multiple causal factors exist. Read More
Pediatr Radiol 2022 May 17. Epub 2022 May 17.
Department of Radiology, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA.
Background: In infant abuse investigations, dating of skeletal injuries from radiographs is desirable to reach a clear timeline of traumatic events. Prior studies have used infant birth-related clavicle fractures as a surrogate to develop a framework for dating of abuse-related fractures.Objective: To develop and train a deep learning algorithm that can accurately date infant birth-related clavicle fractures. Read More
Eur Radiol 2022 Feb 18. Epub 2022 Feb 18.
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR.
Objectives: We proposed a new approach to train deep learning model for aneurysm rupture prediction which only uses a limited amount of labeled data.Method: Using segmented aneurysm mask as input, a backbone model was pretrained using a self-supervised method to learn deep embeddings of aneurysm morphology from 947 unlabeled cases of angiographic images. Subsequently, the backbone model was finetuned using 120 labeled cases with known rupture status. Read More
Clin Transplant 2021 08 29;35(8):e14388. Epub 2021 Jun 29.
National and Kapodistrian University of Athens, Athens, Greece.
Purpose: We sought to develop and validate machine learning (ML) models to increase the predictive accuracy of mortality after heart transplantation (HT).Methods And Results: We included adult HT recipients from the United Network for Organ Sharing (UNOS) database between 2010 and 2018 using solely pre-transplant variables. The study cohort comprised 18 625 patients (53 ± 13 years, 73% males) and was randomly split into a derivation and a validation cohort with a 3:1 ratio. Read More