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

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

5 December 2019

Davood Karimi

Simon K. Warfield

Ali Gholipour

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

16 / 66 papers shown

Title
Unified Robust Training for Graph NeuralNetworks against Label Noise Yayong Li Jie Yin Ling-Hao Chen NoLa 32 29 0 05 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Eric Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 38 22 0 28 Feb 2021
Model Generalization on COVID-19 Fake News Detection Yejin Bang Etsuko Ishii Samuel Cahyawijaya Ziwei Ji Pascale Fung 55 36 0 11 Jan 2021
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? Jun Ma 72 25 0 01 Jan 2021
Annotation-efficient deep learning for automatic medical image segmentation Shanshan Wang Cheng Li Rongpin Wang Zaiyi Liu Meiyun Wang ... Xin Liu Jie Chen Hui-Chong Zhou Ismail Ben Ayed Hairong Zheng VLM MedIm 39 177 0 09 Dec 2020
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 24 159 0 09 Nov 2020
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder Yunhao Yang Andrew Whinston 23 5 0 07 Nov 2020
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset Siyi Tang Amirata Ghorbani R. Yamashita Sameer Rehman Jared A. Dunnmon James Zou D. Rubin TDI 19 80 0 15 Oct 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
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset A. Signoroni Mattia Savardi Sergio Benini Nicola Adami R. Leonardi ... F. Vaccher M. Ravanelli A. Borghesi R. Maroldi D. Farina 24 37 0 08 Jun 2020
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks Davood Karimi Simon K. Warfield Ali Gholipour MedIm 22 19 0 30 May 2020
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs Keno K. Bressem Lisa Christine Adams C. Erxleben B. Hamm S. Niehues J. Vahldiek 30 167 0 20 Feb 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 47 668 0 16 Oct 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 38 752 0 27 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 213 745 0 06 Jun 2015