A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine-Reference-Cited by-同舟云学术

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A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine

Published:2022-03 Issue: Volume:239 Page:108060
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhang Xu^ORCID,Chen Zhikui,Gao Jing,Huang Wei,Li Peng,Zhang Jianing^ORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Dalian Science and Technology Innovation Fund

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference56 articles.

1. A survey on explainable artificial intelligence (XAI): towards medical XAI;Tjoa,2019

2. Feature transfer learning for face recognition with under-represented data;Yin,2019

3. Semi-supervised transfer learning for image rain removal;Wei,2019

4. Deep transfer learning for multiple class novelty detection;Perera,2019

5. Imagenet: A large-scale hierarchical image database;Deng,2009

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2. Tongue feature dataset construction and real-time detection;PLOS ONE;2024-03-07

3. A review of traditional Chinese medicine diagnosis using machine learning: Inspection, auscultation-olfaction, inquiry, and palpation;Computers in Biology and Medicine;2024-03

4. Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training;Computers in Biology and Medicine;2024-03

5. Research status and prospect of tongue image diagnosis analysis based on machine learning;Digital Chinese Medicine;2024-03

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