Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation

Author:

Cai Heng1,Li Shumeng1,Qi Lei2,Yu Qian3,Shi Yinghuan1,Gao Yang1

Affiliation:

1. Nanjing University

2. Southest University

3. Shandong Women's University

Funder

NSFC Program

China Postdoctoral Science Foundation Project

Jiangsu Natural Science Foundation Project

Publisher

IEEE

Reference46 articles.

1. UNETR: Transformers for 3D Medical Image Segmentation

2. Fixmatch: Simplifying semi-supervised learning with consistency and confidence;sohn;Advances in neural information processing systems,2020

3. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

4. Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation

5. Recurseed and certainmix for weakly supervised semantic segmentation;jo;ArXiv Preprint,2022

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