Machine Learning for the Detection and Segmentation of Benign Tumors of the Central Nervous System: A Systematic Review

Machine Learning for the Detection and Segmentation of Benign Tumors of the Central Nervous System: A Systematic Review

<b>Objectives</b>: To summarize the available literature on using machine learning (ML) for the detection and segmentation of benign tumors of the central nervous system (CNS) and to assess the adherence of published ML/diagnostic accuracy studies to best practice. <b>Methods</b...

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Bibliographic Details
Main Authors: Paul Windisch, Carole Koechli, Susanne Rogers, Christina Schröder, Robert Förster, Daniel R. Zwahlen, Stephan Bodis
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Cancers
Subjects:
machine learning
deep learning
benign brain tumor
vestibular schwannoma
meningioma
pituitary adenoma
Online Access:https://www.mdpi.com/2072-6694/14/11/2676

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https://www.mdpi.com/2072-6694/14/11/2676

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