Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets

17 August 2020

Papers citing "Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets"

27 / 27 papers shown

Title
MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasets Zhendi Gong S. Francis Eleanor Cox Stamatios N. Sotiropoulos Dorothee Auer Guoping Qiu Andrew P French Xin Chen ViT 39 0 0 28 Mar 2025
Show and Segment: Universal Medical Image Segmentation via In-Context Learning Yunhe Gao Di Liu Zhuowei Li You Li DongDong Chen Mu Zhou Dimitris N. Metaxas VLM 58 0 0 25 Mar 2025
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation Lei Zhu Yanyu Xu Huazhu Fu Xinxing Xu Rick Siow Mong Goh Yong Liu 38 0 0 07 Mar 2025
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model Yiwen Ye Ziyang Chen Jianpeng Zhang Yutong Xie Yong Xia MedIm 44 3 0 08 Oct 2024
Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation Xixi Jiang Dong Zhang Xiang Li Kangyi Liu Kwang-Ting Cheng Xin Yang OOD 27 1 0 05 Sep 2024
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation Xiaoyu Liu Linhao Qu Ziyue Xie Yonghong Shi Zhijian Song 46 1 0 17 Jul 2024
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation Xiaoyang Chen Hao Zheng Yuemeng Li Yuncong Ma Liang Ma Hongming Li Yong-Xian Fan 36 7 0 17 Nov 2023
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data Pochuan Wang Chen Shen Weichung Wang M. Oda C. Fuh Kensaku Mori H. Roth FedML 27 5 0 08 Aug 2023
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation Yunhe Gao Zhuowei Li Di Liu Mu Zhou Shaoting Zhang Dimitris N. Metaxas MedIm 31 12 0 04 Jun 2023
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training Han Liu Zhoubing Xu Riqiang Gao Hao Li Rongxiang Weng G. Chabin I. Oguz Sasa Grbic 43 17 0 27 Apr 2023
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation Constantin Ulrich Fabian Isensee Tassilo Wald M. Zenk Michael Baumgartner Klaus H. Maier-Hein 34 37 0 25 Mar 2023
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation Xiaoyu Liu Linhao Qu Ziyue Xie Jiayue Zhao Yonghong Shi Zhijian Song 44 7 0 01 Mar 2023
Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation Peng Liu Mengke Sun S. Kevin Zhou OOD 29 5 0 08 Feb 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 45 6 0 07 Feb 2023
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations Adway U. Kanhere Pranav Kulkarni Paul H. Yi V. Parekh FedML 28 1 0 17 Jan 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection Jie Liu Yixiao Zhang Jieneng Chen Junfei Xiao Yongyi Lu Bennett A. Landman Yixuan Yuan Alan Yuille Yucheng Tang Zongwei Zhou VLM MedIm 46 195 0 02 Jan 2023
Learning from partially labeled data for multi-organ and tumor segmentation Yutong Xie Jianpeng Zhang Yong-quan Xia Chunhua Shen MedIm ViT 39 18 0 13 Nov 2022
Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training Yi Lin Z. Qu Hao Chen Zhongke Gao Yuexiang Li Lili Xia Kai Ma Yefeng Zheng Kwang-Ting Cheng 24 25 0 16 Feb 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data Yuyin Zhou D. Dreizin Yan Wang Fengze Liu Wei Shen Alan Yuille 20 16 0 04 Jan 2022
MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets Shixiang Feng Yuhang Zhou Xiaoman Zhang Ya Zhang Yanfeng Wang 27 11 0 05 Aug 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 16 58 0 28 Feb 2021
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation Yichi Zhang Qingcheng Liao Lin Yuan He Zhu Jiezhen Xing Jicong Zhang 59 23 0 31 Dec 2020
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets Jianpeng Zhang Yutong Xie Yong-quan Xia Chunhua Shen 22 155 0 20 Nov 2020
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation Siyu Liu Weiqun Dai Craig B. Engstrom Jurgen Fripp Stuart Crozier Jason Dowling Shekhar S. Chandra 30 0 0 28 Jun 2020
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization Qi Duan Guotai Wang Rui Wang Chaohao Fu Xinjun Li ... Xinglong Liu Qing Xia Zhiqiang Hu Ning Huang Shaoting Zhang 45 18 0 03 Apr 2020
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern H. Menze 35 990 0 13 Jan 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 273 1,275 0 06 Mar 2017