Automatic diagnosis of melanoma using hyperspectral data and GoogLeNet-Reference-Cited by-同舟云学术

Automatic diagnosis of melanoma using hyperspectral data and GoogLeNet

Published:2020-06-25 Issue:6 Volume:26 Page:891-897
ISSN:0909-752X
Container-title:Skin Research and Technology
language:en
Short-container-title:Skin Res Technol

Author:

Hirano Ginji¹,Nemoto Mitsutaka²,Kimura Yuichi¹,Kiyohara Yoshio³,Koga Hiroshi⁴,Yamazaki Naoya⁵,Christensen Gustav⁶,Ingvar Christian⁶,Nielsen Kari⁶,Nakamura Atsushi⁷,Sota Takayuki⁸,Nagaoka Takashi¹^ORCID

Affiliation:

1. Department of Biological System Engineering Graduate School of Biology‐Oriented Science and Technology Kindai University Wakayama Japan

2. Department of Biomedical Engineering Faculty of Biology‐Oriented Science and Technology Kindai University Wakayama Japan

3. Division of Dermatology Shizuoka Cancer Center Shizuoka Japan

4. Department of Dermatology Shinshu University Hospital Nagano Japan

5. Department of Dermatologic Oncology National Cancer Center Hospital Tokyo Japan

6. Department of Dermatology Lund University Lund Sweden

7. Waseda Research Institute for Science and Engineering Waseda University Tokyo Japan

8. Department of Electrical Engineering and Bioscience Waseda University Tokyo Japan

Publisher

Wiley

Subject

Dermatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/srt.12891

Reference28 articles.

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3. Frequency and Characteristic Feature of Metastatic Brain Tumors in Japan

4. Malignant melanoma: prevention, early detection, and treatment in the 21st century

5. Melanocytes in development and cancer

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