Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data

Autor:	Andrey S. Krylov, Wuwei Tian, Xueli Bai, Jiayuan Shao, Tingbo Liang, Nan Xiang, Kunkai Su, Xiuming Zhang, Qiang Huang, Qinxue Sun, Tiannan Guo, Wenbo Xiao, Haibo Dong, Wenjie Liang, Yubizhuo Wang, Weihai Liu, Rui Sun, Weigang Ge, Jingwen Xia, Mylène C. Q. Farias, Yong Ding, Shijian Ruan
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Male medicine.medical_specialty Medicine (General) Carcinoma Hepatocellular Medicine (miscellaneous) Computed tomography Letter to Editor R5-920 Deep Learning Radiomics Preoperative Care medicine Humans Aged medicine.diagnostic_test business.industry Deep learning Liver Neoplasms Cell Differentiation Middle Aged medicine.disease Hepatocellular carcinoma Molecular Medicine Female Radiology Artificial intelligence business Tomography X-Ray Computed
Zdroj:	Clinical and Translational Medicine Clinical and Translational Medicine, Vol 11, Iss 11, Pp n/a-n/a (2021)
ISSN:	2001-1326
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd2b683b5b06d9eeb325a42f86421a48 http://europepmc.org/articles/PMC8571950 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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