COSST: Multi-organ Segmentation with Partially Labeled Datasets Using
Comprehensive Supervisions and Self-training

COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training

27 April 2023

Hao Li

Papers citing "COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training"

5 / 5 papers shown

Title
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation Xiaoyu Liu Linhao Qu Ziyue Xie Yonghong Shi Zhijian Song 41 1 0 17 Jul 2024
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation Ho Hin Lee Shunxing Bao Yuankai Huo Bennett A. Landman OOD MedIm 54 133 0 29 Sep 2022
Enhancing Data Diversity for Self-training Based Unsupervised Cross-modality Vestibular Schwannoma and Cochlea Segmentation Han Liu Yubo Fan Ipek Oguz Benoit M. Dawant 24 5 0 23 Sep 2022
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training Hexin Dong Fei Yu Jie Zhao Bin Dong Li Zhang OOD 27 16 0 29 Sep 2021
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 230 789 0 26 Aug 2019