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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.
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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  Data: Machine learning-based image analysis for accelerating the diagnosis of complicated preneoplastic and neoplastic ductal lesions in breast biopsy tissues.
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  Data: <searchLink fieldCode="AU" term="%22Sato+S%22">Sato S</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Maki+S%22">Maki S</searchLink>; Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.<br /><searchLink fieldCode="AU" term="%22Yamanaka+T%22">Yamanaka T</searchLink>; Department of Breast and Endocrine Surgery, Kanagawa Cancer Center, Yokohama, Japan.<br /><searchLink fieldCode="AU" term="%22Hoshino+D%22">Hoshino D</searchLink>; Department of Cancer Biology, Kanagawa Cancer Center Research Institute, Yokohama, Japan.<br /><searchLink fieldCode="AU" term="%22Ota+Y%22">Ota Y</searchLink>; Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-Ku, Yokohama, Kanagawa, 241-8515, Japan.<br /><searchLink fieldCode="AU" term="%22Yoshioka+E%22">Yoshioka E</searchLink>; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan.<br /><searchLink fieldCode="AU" term="%22Kawachi+K%22">Kawachi K</searchLink>; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan.<br /><searchLink fieldCode="AU" term="%22Washimi+K%22">Washimi K</searchLink>; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan.<br /><searchLink fieldCode="AU" term="%22Suzuki+M%22">Suzuki M</searchLink>; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan.<br /><searchLink fieldCode="AU" term="%22Ohkubo+Y%22">Ohkubo Y</searchLink>; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan.<br /><searchLink fieldCode="AU" term="%22Yokose+T%22">Yokose T</searchLink>; Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan.<br /><searchLink fieldCode="AU" term="%22Yamashita+T%22">Yamashita T</searchLink>; Department of Breast and Endocrine Surgery, Kanagawa Cancer Center, Yokohama, Japan.<br /><searchLink fieldCode="AU" term="%22Ohtori+S%22">Ohtori S</searchLink>; Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.<br /><searchLink fieldCode="AU" term="%22Miyagi+Y%22">Miyagi Y</searchLink>; Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-Ku, Yokohama, Kanagawa, 241-8515, Japan.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Kluwer+Academic%22">Kluwer Academic </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8111104 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-7217 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201676806%22">01676806 </searchLink><i>NLM ISO Abbreviation: </i>Breast Cancer Res Treat <i>Subsets: </i>MEDLINE
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