Machine learning-based image analysis for accelerating the diagnosis of complicated preneoplastic and neoplastic ductal lesions in breast biopsy tissues.
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| Title: | Machine learning-based image analysis for accelerating the diagnosis of complicated preneoplastic and neoplastic ductal lesions in breast biopsy tissues. |
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| Authors: | Sato S; Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-Ku, Yokohama, Kanagawa, 241-8515, Japan. ssato53@gancen.asahi.yokohama.jp.; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan. ssato53@gancen.asahi.yokohama.jp., Maki S; Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan., Yamanaka T; Department of Breast and Endocrine Surgery, Kanagawa Cancer Center, Yokohama, Japan., Hoshino D; Department of Cancer Biology, Kanagawa Cancer Center Research Institute, Yokohama, Japan., Ota Y; Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-Ku, Yokohama, Kanagawa, 241-8515, Japan., Yoshioka E; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan., Kawachi K; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan., Washimi K; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan., Suzuki M; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan., Ohkubo Y; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan., Yokose T; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan., Yamashita T; Department of Breast and Endocrine Surgery, Kanagawa Cancer Center, Yokohama, Japan., Ohtori S; Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan., Miyagi Y; Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-Ku, Yokohama, Kanagawa, 241-8515, Japan. |
| Source: | Breast cancer research and treatment [Breast Cancer Res Treat] 2021 Aug; Vol. 188 (3), pp. 649-659. Date of Electronic Publication: 2021 May 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Kluwer Academic Country of Publication: Netherlands NLM ID: 8111104 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7217 (Electronic) Linking ISSN: 01676806 NLM ISO Abbreviation: Breast Cancer Res Treat Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1573-7217 |
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| DOI: | 10.1007/s10549-021-06243-2 |