Classifying primary central nervous system lymphoma from glioblastoma using deep learning and radiomics based machine learning approach - a systematic review and meta-analysis

Classifying primary central nervous system lymphoma from glioblastoma using deep learning and radiomics based machine learning approach - a systematic review and meta-analysis

BackgroundGlioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) are common in elderly yet difficult to differentiate on MRI. Their management and prognosis are quite different. Recent surge of interest in predictive analytics, using machine learning (ML) from radiomic features and d...

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Bibliographic Details
Main Authors: Amrita Guha, Jayant S. Goda, Archya Dasgupta, Abhishek Mahajan, Soutik Halder, Jeetendra Gawde, Sanjay Talole
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Oncology
Subjects:
machine learning
deep learning
predictive analytics
primary central nervous system (CNS) lymphoma
glioblastoma
magnetic resonance imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.884173/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.884173/full

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