Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition-Reference-Cited by-同舟云学术

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Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition

Published:2024 Issue: Volume:12 Page:122852-122877
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xu Yiqian¹,Wang Ruofan¹,Zhao Rui-Wei²^ORCID,Xiao Xingxing³,Feng Rui¹^ORCID

Affiliation:

1. School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China

2. Fudan University, Shanghai, China

3. Institute for Humanities and Social Science Data, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10634167.pdf?arnumber=10634167

Reference125 articles.

1. A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

2. A review on deep learning in medical image analysis

3. How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

4. Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis

5. FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks

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