Automatic segmentation of uterine endometrial cancer on multi-sequence MRI using a convolutional neural network
Abstract 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 u...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/962db06ca6e14edf99d551abec3fc483 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|