Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation

28 July 2022

Papers citing "Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation"

20 / 20 papers shown

Title
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation Rayan Merghani Ahmed Adnan Iltaf Mohamed Elmanna Gang Zhao Hongliang Li Yue Du Bin Li Shoujun Zhou 48 0 0 07 Apr 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization Dongkwan Lee Kyomin Hwang Nojun Kwak 94 0 0 18 Mar 2025
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation Wenbo Xiao Zhihao Xu Guiping Liang Yangjun Deng Yi Xiao 52 0 0 01 Feb 2025
Segmenting Medical Images with Limited Data Zhaoshan Liua Qiujie Lv Chau Hung Lee L. Shen 33 11 0 12 Jul 2024
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation Qingjie Zeng Yutong Xie Zilin Lu Mengkang Lu Yicheng Wu Yong-quan Xia 25 3 0 20 Nov 2023
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation Heejoon Koo 21 0 0 10 Nov 2023
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels Fengming Lin Yan Xia Nishant Ravikumar Qiongyao Liu Michael MacRaild Alejandro F Frangi 11 3 0 07 Aug 2023
Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation Bethany H. Thompson G. D. Caterina J. Voisey 26 29 0 16 Oct 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
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation Xuanting Hao Shengbo Gao Lijie Sheng Jicong Zhang 21 3 0 20 Sep 2021
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data Jun Chen Heye Zhang R. Mohiaddin Tom Wong D. Firmin J. Keegan Guang Yang 39 35 0 17 Sep 2021
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge A. Lalande Zhihao Chen T. Pommier Thomas Decourselle Abdul Qayyum ... Yichi Zhang Yuncheng Zhou Xiahai Zhuang R. Couturier F. Mériaudeau 34 42 0 09 Aug 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation Simon Reiß C. Seibold Alexander Freytag E. Rodner Rainer Stiefelhagen 76 60 0 27 Apr 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning Atin Ghosh Alexandre Hoang Thiery 58 20 0 18 Jan 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? Jun Ma 64 25 0 01 Jan 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 36 23 0 31 Dec 2020
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu D. Yang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 175 123 0 29 Nov 2018
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 10,544 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015