Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma.

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作者： Evan,Calabrese ^[1] ; Jeffrey D,Rudie ^[1] ; Andreas M,Rauschecker ^[1] ; Javier E,Villanueva-Meyer ^[1] ; Jennifer L,Clarke ^[2] ; David A,Solomon ^[3] ; Soonmee,Cha ^[1]

作者单位： Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, California, USA. ^[1] Division of Neuro-Oncology, Departments of Neurology and Neurological Surgery, University of California San Francisco, San Francisco, California, USA. ^[2] Department of Pathology, University of California San Francisco, San Francisco, California, USA. ^[3]

关键词 artificial intelligence deep learning glioblastoma radiogenomics radiomics

DOI 10.1093/noajnl/vdac060

PMID 35611269

发布时间 2022-12-16

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Neuro-oncology advances

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Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma.

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Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma.

Neuro-oncology advances

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Neuro-oncology advances

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