An initial experience of machine learning based on multi-sequence texture parameters in magnetic resonance imaging to differentiate glioblastoma from brain metastases-Reference-Cited by-同舟云学术

An initial experience of machine learning based on multi-sequence texture parameters in magnetic resonance imaging to differentiate glioblastoma from brain metastases

Published:2020-03 Issue: Volume:410 Page:116514
ISSN:0022-510X
Container-title:Journal of the Neurological Sciences
language:en
Short-container-title:Journal of the Neurological Sciences

Author:

Tateishi Machiko^ORCID,Nakaura Takeshi^ORCID,Kitajima Mika,Uetani Hiroyuki^ORCID,Nakagawa Masataka,Inoue Taihei^ORCID,Kuroda Jun-ichiro,Mukasa Akitake,Yamashita Yasuyuki

Publisher

Elsevier BV

Subject

Clinical Neurology,Neurology

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5. Non-small cell lung cancer radiogenomics map identifies relationships between molecular and imaging phenotypes with prognostic implications;Zhou;Radiol.,2018

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