Few-shot Learning Framework Based on Adaptive Subspace for Skin Disease Classification-Reference-Cited by-同舟云学术

Few-shot Learning Framework Based on Adaptive Subspace for Skin Disease Classification

Published:2022-12-06 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Zhou Chuan¹,Sun Mengqi¹,Chen Leiting¹,Cai Anping¹,Fang Jiahao¹

Affiliation:

1. University of Electronic Science and Technology of China,Key Laboratory of Digital Media Technology of Sichuan Province, School of Computer Science and Engineering,Chengdu,Sichuan Province,China,611731

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995042.pdf?arnumber=9995042

Reference33 articles.

1. Incidence Estimate of Nonmelanoma Skin Cancer (Keratinocyte Carcinomas) in the US Population, 2012

2. Skin conditions and related need for medical care among persons 174 years. United States 19711974;Johnson;Vital Health Stat,1978

3. Deep Learning in Skin Disease Image Recognition: A Review

4. Automating skin disease diagnosis using image classification;Okuboyejo

5. Segmentation and Classification of Skin Lesions for Disease Diagnosis

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3. Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification;IEEE Transactions on Neural Networks and Learning Systems;2023