What is it about?
This is a review about the impact of Machine Learning on Glioblastoma problems studied by MRI. A partial taxonomy involving more than 15 different problems related to Glioblastoma were found. The main machine learning techniques used in the field are described.
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Why is it important?
A partial taxonomy of the Glioblastoma problems tackled with machine learning approach is provided
Perspectives
A lot of relevant data, metrics, trends are summarized and analyzed
Luis Carlos Padierna
Universidad de Guanajuato
Read the Original
This page is a summary of: Machine Learning in Magnetic Resonance Images of Glioblastoma: A Review, Current Medical Imaging Formerly Current Medical Imaging Reviews, January 2024, Bentham Science Publishers,
DOI: 10.2174/0115734056265212231122102029.
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