Publications by authors named "Guillaume Rittano"
Article Synopsis
- The study explores the use of machine learning decision tree models to classify different types of brain tumors (lymphomas, glioblastomas, and metastases) using MRI data from 180 patients.
- The models achieved high performance in classifying the tumors, with accuracy rates around 96% and significant predictive values, indicating effective differentiation based on various MRI parameters.
- Key factors driving the decision-making process in the models were identified, highlighting the importance of tumor characteristics such as proliferation and tissue permeability, which can aid in personalized treatment approaches.
