Machine Learning Approach and Model for Predicting Proton Stopping Power Ratio and Other Parameters Using Computed Tomography Images

Purpose: The purpose of this study was to accurately estimate proton stopping power ratio (SPR), relative electron density ρe, effective atomic number (Zeff), and mean excitation energy (I) using one simple robust model and design a machine learning algorithm that will lead to automation. Methods: E...

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Bibliographic Details
Main Author: Charles Ekene Chika
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-12-01
Series:Journal of Medical Physics
Subjects:
Online Access:https://journals.lww.com/10.4103/jmp.jmp_120_24
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