From pixels to prognosis: leveraging radiomics and machine learning to predict IDH1 genotype in gliomas.

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Bibliographic Details
Title: From pixels to prognosis: leveraging radiomics and machine learning to predict IDH1 genotype in gliomas.
Authors: Karakas AB; Department of Anatomy, Faculty of Medicine, Kastamonu University, Kastamonu, 37200, Turkey. asliberilkarakas@gmail.com., Govsa F; Department of Anatomy, Faculty of Medicine, Ege University, Izmir, Turkey., Ozer MA; Department of Anatomy, Faculty of Medicine, Ege University, Izmir, Turkey., Biceroglu H; Department of Neurosurgery, Faculty of Medicine, Ege University, Izmir, Turkey., Eraslan C; Department of Radiology, Faculty of Medicine, Ege University, Izmir, Turkey., Tanir D; Department of Management Information Systems, Faculty of Economics and Administrative Sciences, Kafkas University, Kars, Turkey.
Source: Neurosurgical review [Neurosurg Rev] 2025 Apr 29; Vol. 48 (1), pp. 396. Date of Electronic Publication: 2025 Apr 29.
Publication Type: Journal Article
Journal Info: Publisher: Springer Berlin Heidelberg Country of Publication: Germany NLM ID: 7908181 Publication Model: Electronic Cited Medium: Internet ISSN: 1437-2320 (Electronic) Linking ISSN: 03445607 NLM ISO Abbreviation: Neurosurg Rev Subsets: MEDLINE
Database: MEDLINE Ultimate
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