Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation-Reference-Cited by-同舟云学术

Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Wang Yixin¹,Xu Zhe²,Tian Jiang³,Luo Jie⁴,Shi Zhongchao³,Zhang Yang¹,Fan Jianping³,He Zhiqiang¹

Affiliation:

1. Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China

2. The Chinese University of Hong Kong,Department of Biomedical Engineering,Hong Kong,China

3. AI Lab, Lenovo Research,Beijing,China

4. Brigham and Women’s Hospital,Harvard Medical School,Boston,MA,USA

Publisher

IEEE

Link

Reference20 articles.

4. Semi-supervised few-shot learning for medical image segmentation;feyjie,2020

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3. Few Shot Learning for Medical Imaging: A Review of Categorized Images;2023 IEEE 7th Conference on Information and Communication Technology (CICT);2023-12-15

5. Synergistic Label-Stability Learning for Semi-supervised Left Atrium Segmentation;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24