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

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"

8 / 8 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
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 35 6 0 07 Feb 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 39 194 0 02 Jan 2023
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
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 52 23 0 31 Dec 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 40 18 0 03 Apr 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 264 1,275 0 06 Mar 2017