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 71 0 0 12 Jan 2025
Frontiers in Intelligent Colonoscopy Ge-Peng Ji Jingyi Liu Peng Xu Nick Barnes Fahad Shahbaz Khan Salman Khan Deng-Ping Fan 49 4 0 22 Oct 2024
Ambiguous Annotations: When is a Pedestrian not a Pedestrian? Luisa Schwirten Jannes Scholz Daniel Kondermann Janis Keuper 38 2 0 14 May 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis Junlin Hou Jilan Xu Rui Feng Hao Chen 34 0 0 08 Apr 2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets? Bidur Khanal Binod Bhattarai Bishesh Khanal Cristian A. Linte NoLa 21 0 0 15 Jan 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 30 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 40 5 0 13 Sep 2023
Adaptive conformal classification with noisy labels Matteo Sesia Y. X. R. Wang Xin Tong 31 14 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 61 10 0 05 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 45 7 0 20 Jun 2023
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model H. Iqbal Umar Khalid Jing Hua Chong Chen DiffM MedIm 46 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 39 14 0 28 May 2023
Bayes classifier cannot be learned from noisy responses with unknown noise rates Soham Bakshi Subha Maity NoLa 24 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 47 1 0 13 Apr 2023
Local Intrinsic Dimensional Entropy Rohan Ghosh Mehul Motani 31 2 0 05 Apr 2023
Noisy Image Segmentation With Soft-Dice M. Nordström Henrik Hult A. Maki F. Löfman 42 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
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise H. A. Mehrtens Alexander Kurz Tabea-Clara Bucher T. Brinker OOD UQCV 208 11 0 03 Jan 2023
Establishment of Neural Networks Robust to Label Noise Pengwei Yang Angel Teng Jack Mangos NoLa 19 0 0 28 Nov 2022
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta Jean-Pierre Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 24 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 32 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 26 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 46 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 35 5 0 30 Jun 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De 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 35 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 55 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 17 10 0 03 May 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 24 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 34 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 19 3 0 25 Mar 2022
The RETA Benchmark for Retinal Vascular Tree Analysis Xingzheng Lyu Li Cheng S. Zhang 3DV 24 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 21 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 31 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 49 17 0 13 Oct 2021
Life is not black and white -- Combining Semi-Supervised Learning with fuzzy labels Lars Schmarje Reinhard Koch 54 2 0 13 Oct 2021
Reduced-Lead ECG Classifier Model Trained with DivideMix and Model Ensemble Hiroshi Seki Takashi Nakano Koshiro Ikeda S. Hirooka Takaaki Kawasaki Mitsutomo Yamada Shumpei Saito T. Yamakawa Shimpei Ogawa 25 3 0 24 Sep 2021
Improving Fairness for Data Valuation in Horizontal Federated Learning Zhenan Fan Huang Fang Zirui Zhou Jian Pei M. Friedlander Changxin Liu Yong Zhang TDI FedML 49 48 0 19 Sep 2021
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction Jiarun Liu Ruirui Li Chuan Sun OOD NoLa VLM 30 32 0 11 Sep 2021
Ghost Loss to Question the Reliability of Training Data Adrien Deliège A. Cioppa Marc Van Droogenbroeck UQCV 21 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 34 51 0 31 Jul 2021
Label noise in segmentation networks : mitigation must deal with bias Eugene Vorontsov Samuel Kadoury NoLa 36 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 34 10 0 30 Jun 2021
Distilling effective supervision for robust medical image segmentation with noisy labels Jialin Shi Ji Wu NoLa 27 32 0 21 Jun 2021
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise Andrea Castellani Sebastian Schmitt Barbara Hammer NoLa 45 18 0 01 May 2021
Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients Faeze Gholamiankhah S. Mostafapour N. Goushbolagh Seyedjafar Shojaerazavi P. Layegh S. Tabatabaei H. Arabi 31 12 0 05 Apr 2021
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality Francesco Ponzio Enrico Macii E. Ficarra S. D. Cataldo 30 4 0 24 Mar 2021