Performance Improvement of Automated Melanoma Diagnosis System by Data Augmentation-Reference-Cited by-同舟云学术

Performance Improvement of Automated Melanoma Diagnosis System by Data Augmentation

Published:2020 Issue:0 Volume:9 Page:62-70
ISSN:2187-5219
Container-title:Advanced Biomedical Engineering
language:en
Short-container-title:ABE

Author:

Kato Kana¹,Nemoto Mitsutaka²,Kimura Yuichi¹,Kiyohara Yoshio³,Koga Hiroshi⁴,Yamazaki Naoya⁵,Christensen Gustav⁶,Ingvar Christian⁶,Nielsen Kari⁶,Nakamura Atsushi⁷,Sota Takayuki⁸,Nagaoka Takashi¹

Affiliation:

1. Department of Biological System Engineering, Graduate School of Biology-Oriented Science and Technology, Kindai University

2. Department of Biomedical Engineering, Faculty of Biology-Oriented Science and Technology, Kindai University

3. Division of Dermatology, Shizuoka Cancer Center

4. Department of Dermatology, Shinshu University Hospital

5. Department of Dermatologic Oncology, National Cancer Center Hospital

6. Department of Dermatology, Lund University

7. Waseda Research Institute for Science and Engineering, Waseda University

8. Department of Electrical Engineering and Bioscience, Waseda University

Publisher

Japanese Society for Medical and Biological Engineering

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering,Biomaterials,Biotechnology

Link

https://www.jstage.jst.go.jp/article/abe/9/0/9_9_62/_pdf

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3. 3. Stolz W, Braun-Falco O, Bilek P, Landthaler M, Burgdorf WHC, Cognetta AB: Color Atlas of Dermatoscopy – 2nd enlarged and completely revised edition. Berlin. Germany Blackwell Publishing, 2002.

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