An Embarrassingly Simple Consistency Regularization Method for
Semi-Supervised Medical Image Segmentation

An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation

1 February 2022

R. Bhattacharya

Rukhshanda Hussain

Agniv Chatterjee

Papers citing "An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation"

9 / 9 papers shown

Title
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images Yifei Wang Chuhong Zhu 34 0 0 24 Mar 2024
Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation L. Wen Zheng-Kai Feng Yun Hou Peng Wang Xi Wu Jiliu Zhou Yan Wang 42 4 0 06 Mar 2024
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 45 12 0 10 Oct 2023
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging Erum Mushtaq Yavuz Faruk Bakman Jie Ding A. Avestimehr FedML 27 8 0 18 Apr 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
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation Margherita Rosnati Fabio De Sousa Ribeiro M. Monteiro Daniel Coelho De Castro Ben Glocker GAN MedIm 30 2 0 03 Nov 2022
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift Yijun Dong Yuege Xie Rachel A. Ward OOD 24 1 0 04 Oct 2022
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI Hritam Basak Sagnik Ghosal R. Sarkar 37 28 0 31 Aug 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 34 152 0 28 Jul 2022