Computational analysis of morphological and molecular features in gastric cancer tissues.

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作者： Yoko,Yasuda ^[1] ; Kazuaki,Tokunaga ^[2] ; Tomoaki,Koga ^[1] ; Chiyomi,Sakamoto ^[1] ; Ilya G,Goldberg ^[1] ; Noriko,Saitoh ^[3] ; Mitsuyoshi,Nakao ^[4]

作者单位： Department of Medical Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan. ^[1] Department of Health Science, Faculty of Medical Science, Kyushu University, Fukuoka, Japan. ^[2] Image Informatics and Computational Biology Unit, Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. ^[3] The Cancer Institute of JFCR, Tokyo, Japan. ^[4]

关键词 ATF7IP/MCAF1 PD-L1 gastric cancer machine learning tissue morphology

主题词细胞膜(Cell Membrane);可行性研究(Feasibility Studies);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);免疫组织化学(Immunohistochemistry);阻遏蛋白质类(Repressor Proteins);胃(Stomach);胃肿瘤(Stomach Neoplasms);组织阵列分析(Tissue Array Analysis)

DOI 10.1002/cam4.2885

PMID 32012497

发布时间 2021-04-23

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Cancer medicine

2020年9卷6期

2223-2234页

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Computational analysis of morphological and molecular features in gastric cancer tissues.

Cancer medicine

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Cancer medicine

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Computational analysis of morphological and molecular features in gastric cancer tissues.

Cancer medicine

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Cancer medicine

相关期刊

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