Improving Medical Image Classification with Label Noise Using
Dual-uncertainty Estimation

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation

28 February 2021

Dwarikanath Mahapatra

Mehrtash Harandi

Papers citing "Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation"

14 / 14 papers shown

Title
Establishment of Neural Networks Robust to Label Noise Pengwei Yang Angel Teng Jack Mangos NoLa 16 0 0 28 Nov 2022
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis Dwarikanath Mahapatra GAN MedIm 16 0 0 16 Nov 2022
On the Ramifications of Human Label Uncertainty Chenchao Zhou Mohit Prabhushankar Ghassan AlRegib 19 4 0 10 Nov 2022
Improved Super Resolution of MR Images Using CNNs and Vision Transformers Dwarikanath Mahapatra SupR ViT MedIm 27 5 0 24 Jul 2022
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization Wei Feng Lin Wang Lie Ju Xin Zhao Xin Wang Xiaoyu Shi Z. Ge OOD 14 14 0 08 Jul 2022
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification Dwarikanath Mahapatra OOD 35 13 0 27 Jun 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification Dwarikanath Mahapatra MedIm 20 2 0 04 Apr 2022
Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning Dwarikanath Mahapatra MedIm 30 5 0 15 Nov 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation Dwarikanath Mahapatra SSL 33 6 0 01 Oct 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 30 8 0 15 Jun 2021
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition Lie Ju Xin Wang Lin Wang Tongliang Liu Xin Zhao Tom Drummond Dwarikanath Mahapatra Z. Ge 21 42 0 22 Apr 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation Dwarikanath Mahapatra 17 53 0 13 Apr 2021
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 61 172 0 24 May 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015