Related Experiment Video
Updated: Oct 10, 2025

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
A U-Net Ensemble for breast lesion segmentation in DCE MRI
Roa'a Khaled1, Joel Vidal1, Joan C Vilanova2
1Computer Vision and Robotics Institute, University of Girona, Campus Montilivi, Girona, 17003, Spain.
This study introduces an automated method using a modified U-Net framework for segmenting breast cancer lesions in Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI). The ensemble approach improves accuracy and efficiency in breast cancer diagnosis.
Failed At:
2026-06-19T13:48:34.779192+00:00
More Related Videos
10:25Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
12:50Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
Published on: April 14, 2014