An auxiliary tool for preliminary tests of skin cancer : A self-modifying meta-learning method for clean and noisy data-Reference-Cited by-同舟云学术

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An auxiliary tool for preliminary tests of skin cancer : A self-modifying meta-learning method for clean and noisy data

Published:2021-09 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)
language:
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Author:

Cao Yifeng¹,Wu Yuefan²,Tian Zhenyu³,Yu Xuan⁴

Affiliation:

1. Automation North China University of Technology,Beijing,China

2. Gifted Young University of Science and Technology of China,Hefei,China

3. Industrial Technology Xian Jiaotong-Liverpool University,Suzhou,China

4. Computer Science East China Normal University,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9696011/9696012/09696123.pdf?arnumber=9696123

Reference24 articles.

1. Trust in the Internet as a Health Resource Among Older Adults: Analysis of Data from a Nationally Representative Survey

2. New elements for informed decision making: A qualitative study of older adults’ views

3. Are My Symptoms Serious Dr Google? A Resource-Based Typology of Value Co-Destruction in Online Self-Diagnosis

4. Self Medication of Anti-microbial Agents (AMAs) and Over-the-Counter Practices: A Study in Mymensingh Sadar Area

5. From Benefits Evaluation to Clinical Adoption: Making Sense of Health Information System Success in Canada

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Meta-learning in Healthcare: A Survey;SN Computer Science;2024-08-12

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