Deep learning with noisy labels: exploring techniques and remedies in medical image analysis

5 December 2019

Davood Karimi

Haoran Dou

Simon K. Warfield

Ali Gholipour

NoLa

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Papers citing "Deep learning with noisy labels: exploring techniques and remedies in medical image analysis"

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Title
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels Erjian Guo Zicheng Wang Zhen Zhao Luping Zhou NoLa 61 0 0 12 Jan 2025
Frontiers in Intelligent Colonoscopy Ge-Peng Ji Jingyi Liu Peng-Tao Xu Nick Barnes F. Khan Salman Khan Deng-Ping Fan 46 4 0 22 Oct 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis Junlin Hou Jilan Xu Rui Feng Hao Chen 23 0 0 08 Apr 2024
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs F. Behrendt Debayan Bhattacharya R. Mieling Lennart Maack Julia Kruger R. Opfer Alexander Schlaefer DiffM MedIm 25 10 0 07 Dec 2023
Towards Reliable Dermatology Evaluation Benchmarks Fabian Gröger Simone Lionetti Philippe Gottfrois Alvaro Gonzalez-Jimenez Matthew Groh Roxana Daneshjou Labelling Consortium Alexander A. Navarini Marc Pouly 31 5 0 13 Sep 2023
Adaptive conformal classification with noisy labels Matteo Sesia Y. X. R. Wang Xin Tong 24 12 0 10 Sep 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources Feiyang Kang H. Just Anit Kumar Sahu R. Jia 59 10 0 05 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model H. Iqbal Umar Khalid Jing Hua Cheng Chen DiffM MedIm 33 25 0 31 May 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning Jingfeng Zhang Bo Song Haohan Wang Bo Han Tongliang Liu Lei Liu Masashi Sugiyama AAML NoLa 32 14 0 28 May 2023
Bayes classifier cannot be learned from noisy responses with unknown noise rates Soham Bakshi Subha Maity NoLa 19 0 0 13 Apr 2023
Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer Yongquan Yang Jie Chen Yani Wei Mohammad H. Alobaidi Hong Bu NoLa 45 1 0 13 Apr 2023
Local Intrinsic Dimensional Entropy Rohan Ghosh Mehul Motani 23 2 0 05 Apr 2023
Noisy Image Segmentation With Soft-Dice M. Nordström Henrik Hult A. Maki F. Löfman 34 2 0 03 Apr 2023
Unsupervised classification to improve the quality of a bird song recording dataset Félix Michaud J. Sueur Maxime LE Cesne S. Haupert 27 28 0 15 Feb 2023
Establishment of Neural Networks Robust to Label Noise Pengwei Yang Angel Teng Jack Mangos NoLa 16 0 0 28 Nov 2022
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta J. Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 19 7 0 31 Oct 2022
Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs Tae Soo Kim Geonwoon Jang Sanghyup Lee Thijs Kooi 27 7 0 30 Sep 2022
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations Sophie Ostmeier Brian Axelrod J. Bertels Fabian Isensee Maarten G.Lansberg Soren Christensen G. Albers Li-Jia Li J. Heit 13 11 0 26 Sep 2022
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss B. Felfeliyan A. Hareendranathan G. Kuntze S. Wichuk Nils D. Forkert Jacob L. Jaremko J. Ronsky NoLa 35 2 0 16 Sep 2022
Labeling instructions matter in biomedical image analysis Tim Radsch Annika Reinke V. Weru M. Tizabi Nicholas Schreck A. Emre Kavur Bunyamin Pekdemir T. Ross A. Kopp-Schneider Lena Maier-Hein 25 53 0 20 Jul 2022
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis Jiancheng Yang Rui Shi Udaranga Wickramasinghe Qikui Zhu Bingbing Ni Pascal Fua 3DH MedIm 29 5 0 30 Jun 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De-Chun Cheng Tongliang Liu Yixiong Ning Nannan Wang Bo Han Gang Niu Xinbo Gao Masashi Sugiyama NoLa 39 65 0 06 Jun 2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations Ying-Long Bai Erkun Yang Zhaoqing Wang Yuxuan Du Bo Han Cheng Deng Dadong Wang Tongliang Liu SSL 25 3 0 04 Jun 2022
A Survey on Deep Learning for Skin Lesion Segmentation Z. Mirikharaji Kumar Abhishek Alceu Bissoto Catarina Barata Sandra Avila Eduardo Valle M. Celebi Ghassan Hamarneh 36 82 0 01 Jun 2022
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation Nikhil Cherian Kurian Amit Lohan G. Verghese Nimish Dharamshi S. Meena ... Fangfang Liu Cheryl Gillet S. Rane A. Grigoriadis A. Sethi SSeg 11 10 0 03 May 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 17 29 0 06 Apr 2022
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future Joyjit Chatterjee Nina Dethlefs 26 83 0 30 Mar 2022
Learning to segment fetal brain tissue from noisy annotations Davood Karimi C. Rollins C. Velasco-Annis Abdelhakim Ouaalam Ali Gholipour 26 25 0 25 Mar 2022
Using Multiple Instance Learning for Explainable Solar Flare Prediction C. Huwyler M. Melchior 17 3 0 25 Mar 2022
The RETA Benchmark for Retinal Vascular Tree Analysis Xingzheng Lyu Li Cheng S. Zhang 3DV 9 19 0 23 Nov 2021
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks Oliver Neumann Nicole Ludwig Marian Turowski Benedikt Heidrich V. Hagenmeyer Ralf Mikut AI4TS 42 1 0 17 Nov 2021
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels Álvaro García-Faura Dejan Štepec Tomaz Martincic D. Skočaj 19 8 0 08 Nov 2021
One-Step Abductive Multi-Target Learning with Diverse Noisy Samples and Its Application to Tumour Segmentation for Breast Cancer Yongquan Yang Fengling Li Yani Wei Jie Chen Ning Chen Mohammad H. Alobaidi Hong Bu 26 8 0 20 Oct 2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy Lars Schmarje Johannes Brunger M. Santarossa Simon-Martin Schroder R. Kiko Reinhard Koch 44 17 0 13 Oct 2021
Life is not black and white -- Combining Semi-Supervised Learning with fuzzy labels Lars Schmarje Reinhard Koch 37 2 0 13 Oct 2021
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction Jiarun Liu Ruirui Li Chuan Sun OOD NoLa VLM 22 32 0 11 Sep 2021
Ghost Loss to Question the Reliability of Training Data A. Deliège A. Cioppa Marc Van Droogenbroeck UQCV 18 1 0 03 Sep 2021
Learning with Noisy Labels via Sparse Regularization Xiong Zhou Xianming Liu Chenyang Wang Deming Zhai Junjun Jiang Xiangyang Ji NoLa 26 51 0 31 Jul 2021
Label noise in segmentation networks : mitigation must deal with bias Eugene Vorontsov Samuel Kadoury NoLa 28 19 0 05 Jul 2021
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering Lars Schmarje M. Santarossa Simon-Martin Schroder Claudius Zelenka R. Kiko J. Stracke N. Volkmann Reinhard Koch 30 10 0 30 Jun 2021
Distilling effective supervision for robust medical image segmentation with noisy labels Jialin Shi Ji Wu NoLa 16 32 0 21 Jun 2021
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality Francesco Ponzio Enrico Macii E. Ficarra S. D. Cataldo 22 4 0 24 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise Yayong Li Jie Yin Ling-Hao Chen NoLa 24 29 0 05 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 32 22 0 28 Feb 2021
Model Generalization on COVID-19 Fake News Detection Yejin Bang Etsuko Ishii Samuel Cahyawijaya Ziwei Ji Pascale Fung 37 36 0 11 Jan 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? Jun Ma 64 25 0 01 Jan 2021
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder Yunhao Yang Andrew Whinston 18 5 0 07 Nov 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Biwei Huang Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama NoLa 13 67 0 14 Jun 2020