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Leveraging Human Selective Attention for Medical Image Analysis with
  Limited Training Data

Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data

2 December 2021
Yifei Huang
Xiaoxiao Li
Lijin Yang
Lin Gu
Yingying Zhu
Hirofumi Seo
Qiuming Meng
Tatsuya Harada
Yoichi Sato
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data"

4 / 4 papers shown
Weakly-supervised Medical Image Segmentation with Gaze Annotations
Weakly-supervised Medical Image Segmentation with Gaze Annotations
Yuan Zhong
Chenhui Tang
Yumeng Yang
Ruoxi Qi
Kang Zhou
Yuqi Gong
Pheng-Ann Heng
J. H. Hsiao
Qi Dou
194
12
0
10 Jul 2024
Not All Neighbors Are Worth Attending to: Graph Selective Attention
  Networks for Semi-supervised Learning
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning
Tiantian He
Haicang Zhou
Yew-Soon Ong
Gao Cong
GNN
344
8
0
14 Oct 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray
  Classification
Probabilistic Integration of Object Level Annotations in Chest X-ray ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Tom van Sonsbeek
Xiantong Zhen
Dwarikanath Mahapatra
M. Worring
279
15
0
13 Oct 2022
Compound Prototype Matching for Few-shot Action Recognition
Compound Prototype Matching for Few-shot Action RecognitionEuropean Conference on Computer Vision (ECCV), 2022
Yifei Huang
Lijin Yang
Yoichi Sato
415
61
0
12 Jul 2022
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