BioCompNet: a dual-channel deep learning framework for automated body composition analysis from fat-water MRI sequences. (A) Schematic of the dual-channel 2-dimensional (2D) U-Net architecture used to ...

Novel Generative Recurrent Neural Network Framework to Produce Accurate, Applicable, and Deidentified Synthetic Medical Data for Patients With Metastatic Cancer Efforts to use growing volumes of ...

OAK BROOK, Ill. – An automated system for measuring brain tissue with magnetic resonance imaging (MRI) can help physicians more accurately diagnose Alzheimer's disease at an earlier stage according to ...

Advances in cartilage imaging techniques, led by compositional MRI and CT arthrography, could improve early diagnosis and monitoring of rheumatic disease, with artificial intelligence accelerating ...

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...

The brain is responsible for the "general command" of human thinking and coordination of the body. Thus, various brain diseases can cause great damage to the human body and nervous system. Brain ...