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Alleviating the Incompatibility between Cross Entropy Loss and Episode
  Training for Few-shot Skin Disease Classification

Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
21 April 2020
Wei-wei Zhu
Haofu Liao
Wenbin Li
Weijian Li
Jiebo Luo
ArXiv (abs)PDFHTML

Papers citing "Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification"

9 / 9 papers shown
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
Zeynep Özdemir
H. Keles
Ö. Ö. Tanriöver
249
3
0
25 Apr 2024
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
312
23
0
10 Oct 2023
A Systematic Review of Few-Shot Learning in Medical Imaging
A Systematic Review of Few-Shot Learning in Medical Imaging
Eva Pachetti
Sara Colantonio
396
87
0
20 Sep 2023
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep
  Models for Kidney Stone Classification
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone ClassificationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Wei-wei Zhu
Runtao Zhou
Yao Yuan
Campbell Timothy
Rajat Jain
Jiebo Luo
MedIm
249
7
0
15 Mar 2023
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease
  Classification
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease ClassificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Li Shuhan
Xuelong Li
Xiaowei Xu
Kwang-Ting Cheng
349
13
0
03 Jul 2022
Unsupervised Representation Learning Meets Pseudo-Label Supervised
  Self-Distillation: A New Approach to Rare Disease Classification
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Jinghan Sun
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
198
11
0
09 Oct 2021
Personalized Retrogress-Resilient Framework for Real-World Medical
  Federated Learning
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
Daming Gao
Meilu Zhu
Chen Yang
Yixuan Yuan
OOD
244
45
0
01 Oct 2021
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few SamplesPattern Recognition (Pattern Recognit.), 2020
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
376
80
0
06 Sep 2020
Background Splitting: Finding Rare Classes in a Sea of Background
Background Splitting: Finding Rare Classes in a Sea of BackgroundComputer Vision and Pattern Recognition (CVPR), 2020
Ravi Teja Mullapudi
Fait Poms
W. Mark
Deva Ramanan
Kayvon Fatahalian
VLM
287
12
0
28 Aug 2020
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