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J-GLOBAL ID:201702285719602247   Reference number:17A0211305

口腔扁平上皮がん病理組織標本のデジタル画像による機械学習に基づくがん浸潤様式の自動判別法

Author (7):
Material:
Volume: 34  Issue:Page: 279-286(J-STAGE)  Publication year: 2016 
JST Material Number: U0504A  ISSN: 2185-3193  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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JST classification (3):
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Category name(code) classified by JST.
Diagnosis of tumors(=neoplasms)  ,  Graphic and image processing in general  ,  Artificial intelligence 
Reference (9):
  • [1] 日本口腔腫瘍学会:口腔癌診療ガイドライン2009年度版.金原出版,2009, p11
  • [2] 白砂兼光,古郷幹彦:口腔外科学(第3版).医歯薬出版,2011, pp253-256
  • [3] Weinberg RA著,武藤 誠,青木正博訳:ワインバーグ がんの生物学.南江堂,2012, pp589-592
  • [4] 日本口腔腫瘍学会:口腔癌取扱い規約2010年版(第1版).金原出版,2010, pp86-87
  • [5] Yamamoto E, Kohama G, Sunakawa H, et al.: Mode of invasion, bleomycin sensitivity, and clinical course in squamous cell carcinoma of the oral cavity. Cancer 51: 2175-2180, 1983
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