Clean Label Disentangling for Medical Image Segmentation with Noisy Labels

28 November 2023

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Papers citing "Clean Label Disentangling for Medical Image Segmentation with Noisy Labels"

31 / 31 papers shown

Title
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 75 15 0 21 Jul 2023
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation Zhen Zhao Lihe Yang Sifan Long Jimin Pi Luping Zhou Jingdong Wang 92 77 0 09 Dec 2022
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation Zhen Zhao Sifan Long Jimin Pi Jingdong Wang Luping Zhou 78 34 0 21 Nov 2022
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation Lihe Yang Lei Qi Xue Jiang Wayne Zhang Yinghuan Shi 68 263 0 21 Aug 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth Michael Felsberg Marco Kuhlmann 72 24 0 10 Jun 2022
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation Chenyu You Weichen Dai Yifei Min Lawrence H. Staib James S. Duncan 60 63 0 06 Jun 2022
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation Xiaoqing Guo Jie Liu Tongliang Liu Yiyuan Yuan 74 27 0 29 Mar 2022
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation Dayan Guan Jiaxing Huang Aoran Xiao Shijian Lu 73 43 0 18 Mar 2022
UNeXt: MLP-based Rapid Medical Image Segmentation Network Jeya Maria Jose Valanarasu Vishal M. Patel SSeg 69 511 0 09 Mar 2022
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation Yicheng Wu Zhonghua Wu Qianyi Wu Zongyuan Ge Jianfei Cai 100 144 0 02 Mar 2022
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation Huifeng Yao Xiaowei Hu Xuelong Li 63 94 0 21 Jan 2022
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer Xiangde Luo Minhao Hu Tao Song Guotai Wang Shaoting Zhang ViT MedIm 58 206 0 09 Dec 2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation Yuyuan Liu Yu Tian Yuanhong Chen Fengbei Liu Vasileios Belagiannis G. Carneiro 78 188 0 25 Nov 2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu Kangning Liu Weicheng Zhu Yiqiu Shen C. Fernandez‐Granda NoLa 88 106 0 07 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 129 240 0 21 Sep 2021
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation Shuailin Li Zhitong Gao Xuming He NoLa 56 27 0 21 Jul 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation Hu Cao Yueyue Wang Jieneng Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian Manning Wang ViT MedIm 136 2,914 0 12 May 2021
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection Muhammad Naseer Bajwa Gurbinder Singh Wolfgang Neumeier M. I. Malik Andreas Dengel Sheraz Ahmed 34 78 0 28 May 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 434 13,108 0 26 May 2020
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 95 224 0 01 Apr 2020
Symmetric Cross Entropy for Robust Learning with Noisy Labels Yisen Wang Xingjun Ma Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey NoLa 96 904 0 16 Aug 2019
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 73 381 0 01 Jun 2019
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation Saeid Asgari Taghanaki Yefeng Zheng S. Kevin Zhou Bogdan Georgescu Puneet Sharma Daguang Xu Dorin Comaniciu Ghassan Hamarneh 79 337 0 08 May 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 480 13,178 0 07 Feb 2018
Robust Loss Functions under Label Noise for Deep Neural Networks Aritra Ghosh Himanshu Kumar P. Sastry NoLa OOD 78 959 0 27 Dec 2017
Deep Learning for Medical Image Analysis Mina Rezaei Haojin Yang Christoph Meinel 77 2,070 0 17 Aug 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 232 8,488 0 17 Jun 2017
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 238 8,716 0 15 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 267 18,267 0 02 Jun 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 465 43,341 0 11 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 204 4,898 0 22 Dec 2014