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CLINICAL: Targeted Active Learning for Imbalanced Medical Image
  Classification

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification

4 October 2022
Suraj Kothawade
Atharv Savarkar
V. Iyer
Lakshman Tamil
Ganesh Ramakrishnan
Rishabh K. Iyer
ArXiv (abs)PDFHTML

Papers citing "CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification"

5 / 5 papers shown
Title
Theoretical Analysis of Submodular Information Measures for Targeted
  Data Subset Selection
Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection
Nathan Beck
Truong Pham
Rishabh K. Iyer
62
1
0
21 Feb 2024
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
117
30
0
22 Oct 2023
Medical supervised masked autoencoders: Crafting a better masking
  strategy and efficient fine-tuning schedule for medical image classification
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification
Jia-ju Mao
Shu-Hua Guo
Yuan Chang
Xuesong Yin
Binling Nie
72
2
0
10 May 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
72
5
0
11 Feb 2023
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OODVLMAI4TS
102
18
0
15 Nov 2022
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