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Improving Medical Image Classification with Label Noise Using
  Dual-uncertainty Estimation
v1v2 (latest)

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

28 February 2021
Lie Ju
Xin Eric Wang
Lin Wang
Dwarikanath Mahapatra
Xin Zhao
Mehrtash Harandi
Tom Drummond
Tongliang Liu
Z. Ge
    NoLaOOD
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis
Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis
Alexandra G. Roberts
Ha Luu
Mert Sisman
A. Dimov
Ceren Tozlu
I. Kovanlikaya
S. Gauthier
Thanh D. Nguyen
Yi Wang
MedIm
231
0
0
29 May 2025
Establishment of Neural Networks Robust to Label Noise
Establishment of Neural Networks Robust to Label Noise
Pengwei Yang
Angel Teng
Jack Mangos
NoLa
211
0
0
28 Nov 2022
Cyclic Generative Adversarial Networks With Congruent Image-Report
  Generation For Explainable Medical Image Analysis
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis
Dwarikanath Mahapatra
GANMedIm
179
0
0
16 Nov 2022
Improved Super Resolution of MR Images Using CNNs and Vision
  Transformers
Improved Super Resolution of MR Images Using CNNs and Vision Transformers
Dwarikanath Mahapatra
SupRViTMedIm
232
5
0
24 Jul 2022
Unsupervised Domain Adaptive Fundus Image Segmentation with
  Category-level Regularization
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level RegularizationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Wei Feng
Lin Wang
Lie Ju
Xin Zhao
Xin Wang
Xiaoyu Shi
Z. Ge
OOD
216
22
0
08 Jul 2022
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs
  For Medical Image Classification
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification
Dwarikanath Mahapatra
OOD
250
18
0
27 Jun 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized
  Zero Shot Medical Image Classification
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification
Dwarikanath Mahapatra
MedIm
278
2
0
04 Apr 2022
Learning of Inter-Label Geometric Relationships Using Self-Supervised
  Learning: Application To Gleason Grade Segmentation
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation
Dwarikanath Mahapatra
SSL
260
6
0
01 Oct 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric
  Inter-Label Relations For COVID Image Analysis
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
Dwarikanath Mahapatra
Ankur Singh
234
10
0
15 Jun 2021
Relational Subsets Knowledge Distillation for Long-tailed Retinal
  Diseases Recognition
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases RecognitionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Lie Ju
Xin Wang
Lin Wang
Tongliang Liu
Xin Zhao
Tom Drummond
Dwarikanath Mahapatra
Z. Ge
244
50
0
22 Apr 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning
  For Disease Classification And Segmentation
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Dwarikanath Mahapatra
266
62
0
13 Apr 2021
1
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