ascopubs.org

Association Between Body Composition and Survival in Patients With Gastroesophageal Adenocarcinoma: An Automated Deep Learning Approach

Body composition (BC) may play a role in outcome prognostication in patients with gastroesophageal adenocarcinoma (GEAC). Artificial intelligence provides new possibilities to opportunistically ...
ascopubs.org

Deep Learning–Based Body Composition Analysis for Outcome Prediction in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Insights From the LOTIS-2 Trial

Using Early Biomarker Change and Treatment Adherence to Predict Risk of Relapse Among Patients With Chronic Myeloid Leukemia Who Are in Remission The imaging cohort consisted of positron emission ...
Science Daily

CT-derived body composition with deep learning predicts cardiovascular events

A fully automated and normalized body composition analysis of abdominal CT has promise to augment traditional cardiovascular risk prediction models. According to ARRS' American Journal of ...
EurekAlert!

BioCompNet: a deep learning workflow enabling automated body composition analysis toward precision management of cardiometabolic disorders

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 ...