Machine Learning-Based Computed Tomography Texture Analysis of Lytic Bone Lesions Needing Biopsy: A Preliminary Study

Machine Learning-Based Computed Tomography Texture Analysis of Lytic Bone Lesions Needing Biopsy: A Preliminary Study

Introduction:Currently, medical imaging has a limited capacity to achieve a final histopathological diagnosis of bone lesions. This study aimed to evaluate the use of machine learning (ML)-based computed tomography (CT) texture analysis to determine benign and malignant behaviors of lytic bone lesio...

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Bibliographic Details
Main Authors: İlhan Nahit Mutlu, Burak Koçak, Ece Ateş Kuş, Melis Baykara Ulusan, Özgür Kılıçkesmez
Format: Article
Language:English
Published: Galenos Yayinevi 2021-08-01
Series:İstanbul Medical Journal
Subjects:
bone
texture analysis
radiomics
machine learning
artificial intelligence
Online Access: http://istanbulmedicaljournal.org/archives/archive-detail/article-preview/machine-learning-based-computed-tomography-texture/48477

Internet

http://istanbulmedicaljournal.org/archives/archive-detail/article-preview/machine-learning-based-computed-tomography-texture/48477

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