Multi-organ segmentation: a progressive exploration of learning
paradigms under scarce annotation

Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation

7 February 2023

Papers citing "Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation"

9 / 9 papers shown

Title
SP ${ }^3$ : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation Shiman Li Jiayue Zhao Shaolei Liu Xiaokun Dai Chenxi Zhang Zhijian Song 78 0 0 18 Nov 2024
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation Constantin Ulrich Fabian Isensee Tassilo Wald M. Zenk Michael Baumgartner Klaus H. Maier-Hein 13 37 0 25 Mar 2023
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images Zijie Chen Cheng Li Junjun He Jin Ye Diping Song Shanshan Wang Lixu Gu Yu Qiao 24 8 0 26 Sep 2021
Efficient Context-Aware Network for Abdominal Multi-organ Segmentation Fan Zhang Yu Wang Hua Yang SSeg MedIm 26 22 0 22 Sep 2021
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation Yicheng Wu Z. Ge Donghao Zhang Minfeng Xu Lei Zhang Yong-quan Xia Jianfei Cai OOD SSL 64 228 0 21 Sep 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 206 506 0 15 Jan 2021
Deep learning for cardiac image segmentation: A review C. L. P. Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 53 672 0 09 Nov 2019
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,599 0 19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015