Geometry-based quality control for external radiation therapy planning using stochastic frontier analysis

Student

Angelika Kroshko

Directeur.e(s) de recherche

Louis Archambault

Start date

2017-09-01

Title of the research project

Geometry-based quality control for external radiation therapy planning using stochastic frontier analysis

Description

This project focuses on the use of machine learning techniques in external radiotherapy for cancer treatment planning.
Stochastic frontier analysis is a parametric approach used in econometrics and appropriated for medical physics. Using a retrospective bank of treated patients it will be possible to predict the optimal dose of radiation for tumor and healthy organs.
This method is applied to multiple cancer treatment sites which emerge new challenge in the context of prediction, and data processing.

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