Current status of pathological image analysis technology in pharmaceutical companies: a questionnaire survey of the Japan Pharmaceutical Manufacturers Association-Reference-Cited by-同舟云学术

Current status of pathological image analysis technology in pharmaceutical companies: a questionnaire survey of the Japan Pharmaceutical Manufacturers Association

Published:2020 Issue:2 Volume:33 Page:131-139
ISSN:0914-9198
Container-title:Journal of Toxicologic Pathology
language:en
Short-container-title:J Toxicol Pathol

Author:

Yoshikawa Tsuyoshi¹²,Horai Yasushi¹³,Asaoka Yoshiji¹⁴,Sakurai Takanobu¹,Kikuchi Satomi¹⁵,Yamaoka Makiko¹⁶,Tanaka Masaharu¹³⁷

Affiliation:

1. Japan Pharmaceutical Manufacturers Association, R&D subcommittee, 2-3-22 Nihonbashi Honcho, Chuo-ku, Tokyo 103-0023, Japan

2. Department of Drug Safety Research, Nonclinical Research Center, Tokushima Research Institute, Otsuka Pharmaceutical Co., Ltd., 463-10 Kagasuno, Kawauchi-cho, Tokushima-shi, Tokushima 771-0192, Japan

3. Sohyaku. Innovative Research Division, Mitsubishi Tanabe Pharma Corporation, 2-26-1 Muraoka-Higashi, Fujisawa-shi, Kanagawa 251-8555, Japan

4. Drug Research Evaluation, Research Laboratory for Development, Shionogi Pharmaceutical Research Center, Shionogi & Co., Ltd., 3-3-1 Futaba-cho, Toyonaka-shi, Osaka 561-0825, Japan

5. DMPK and Safety Assessment, Research Center, Mochida Pharmaceutical Co., Ltd., 772 Uenohara, Jimba, Gotemba-shi, Shizuoka, 412-8524, Japan

6. Toxicology Research Laboratory, Watarase Research Center, Discovery Research Headquarters, Kyorin Pharmaceutical Co., Ltd., 1848 Nogi, Nogi-machi, Shimotsuga-gun, Tochigi 329-0114, Japan

7. Research & Development Department, Japan Bioindustry Association, 2-26-9 Hachobori, Chuo-ku, Tokyo 104-0032, Japan

Publisher

Japanese Society of Toxicologic Pathology

Subject

Toxicology,Pathology and Forensic Medicine

Link

https://www.jstage.jst.go.jp/article/tox/33/2/33_2019-0056/_pdf

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4. 4. Yoshida H, Shimazu T, Kiyuna T, Marugame A, Yamashita Y, Cosatto E, Taniguchi H, Sekine S, and Ochiai A. Automated histological classification of whole-slide images of gastric biopsy specimens. Gastric Cancer. 21: 249–257. 2018.

5. 5. Horai Y, Kakimoto T, Takemoto K, and Tanaka M. Quantitative analysis of histopathological findings using image processing software. J Toxicol Pathol. 30: 351–358. 2017.

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