Medical Statistics Unlock the Gateway to Further Research: Using Deep Learning to Predict CDKN2A/B Homozygous Deletion in Isocitrate Dehydrogenase-Mutant Astrocytoma

KCI Citation Count: 1

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Bibliographic Details
Published inKorean journal of radiology Vol. 24; no. 12; pp. 1303 - 1305
Main Authors Takahashi, Kengo, Usuzaki, Takuma, Inamori, Ryusei
Format Journal Article
LanguageEnglish
Published Korea (South) 대한영상의학회 01.12.2023
Subjects
Astrocytoma - diagnostic imaging
Astrocytoma - genetics
Astrocytoma - pathology
Cyclin-Dependent Kinase Inhibitor p16 - genetics
Deep Learning
Homozygote
Humans
Isocitrate Dehydrogenase - genetics
Magnetic Resonance Imaging
Public Health - statistics & numerical data
Sequence Deletion
방사선과학
Deep learning
Cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B)
Medical statistics
Isocitrate dehydrogenase (IDH)
Machine learning
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Summary:KCI Citation Count: 1
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Correspondence-1
ObjectType-Commentary-2
content type line 23
https://doi.org/10.3348/kjr.2023.0925
ISSN:1229-6929
2005-8330
2005-8330
DOI:10.3348/kjr.2023.0925