Overall Survival Predictions of GBM Patients Using Radiomics: An Explainable AI Approach Using SHAP

Overall Survival Predictions of GBM Patients Using Radiomics: An Explainable AI Approach Using SHAP

Glioblastoma multiforme (GBM) is a WHO grade IV tumor and its heterogeneity pushes oncologists to focus on more personalized treatments for individual patients. This challenge is aided by radiomics, which involves the extraction of valuable features from Magnetic Resonance images, the most common no...

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Bibliographic Details
Main Authors: A. M. H. H. Alahakoon, C. K. Walgampaya, Shyama Walgampaya, I. U. Ekanayake, Janaka Alawatugoda
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Glioblastoma multiforme (GBM)
explainable AI
SHAP
radiomic features
MRI
Online Access:https://ieeexplore.ieee.org/document/10701284/

Internet

https://ieeexplore.ieee.org/document/10701284/

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