Learning Active Contour Models for Medical Image Segmentation

CVPR 2019 Xu Chen Bryan M. Williams Srinivasa R. Vallabhaneni Gabriela Czanner Rachel Williams Yalin Zheng

Image segmentation is an important step in medical image processing and has been widely studied and developed for refinement of clinical analysis and applications. New models based on deep learning have improved results but are restricted to pixel-wise fitting of the segmentation map... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.