This paper forms a fixed-point model which uses a predicted segmentation mask to shrink the input region and outperform the state-of-the-art by more than \(4\%\), measured by the average Dice-Sorensen Coefficient (DSC).
Authors
A. Yuille
29 papers
Wei Shen
5 papers
Yan Wang
6 papers
Lingxi Xie
6 papers
Yuyin Zhou
5 papers
E. Fishman
2 papers
Views
Field of Study
Computer Science
Venue Information
Name
International Conference on Medical Image Computing and Computer-Assisted Intervention