Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network

Abstract excerpt

Endometrial cancer (EC) is the most common gynecological tumor in developed countries, and preoperative risk stratification is essential for personalized medicine. There have been several radiomics studies for noninvasive risk stratification of EC using MRI. Although tumor segmentation is usually necessary for these studies, manual segmentation is not only labor-intensive but may also be subjective. Therefore,...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to AI in cancer detection
• Share to Radiomics and Machine Learning in Medical Imaging