Deciphering Machine Learning Decisions to Distinguish between Posterior Fossa Tumor Types Using MRI Features: What Do the Data Tell Us?

Deciphering Machine Learning Decisions to Distinguish between Posterior Fossa Tumor Types Using MRI Features: What Do the Data Tell Us?

Machine learning (ML) models have become capable of making critical decisions on our behalf. Nevertheless, due to complexity of these models, interpreting their decisions can be challenging, and humans cannot always control them. This paper provides explanations of decisions made by ML models in dia...

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Bibliographic Details
Main Authors: Toygar Tanyel, Chandran Nadarajan, Nguyen Minh Duc, Bilgin Keserci
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Cancers
Subjects:
posterior fossa pediatric brain tumors
magnetic resonance imaging
machine learning
exploratory data analysis
kernel density estimation
Online Access:https://www.mdpi.com/2072-6694/15/16/4015

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https://www.mdpi.com/2072-6694/15/16/4015

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