Search Results for author:
Found 2 papers, 1 papers with code
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
We further evaluate the scribble-based annotation-efficient learning on this dataset, as the pixel-wise manual annotation is time-consuming and expensive.
DSU-net: Dense SegU-net for automatic head-and-neck tumor segmentation in MR images
In this paper, we propose a Dense SegU-net (DSU-net) framework for automatic NPC segmentation in MRI.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
