Student
Directeur.e(s) de recherche
Philippe Després
Start date
Title of the research project
Data pipelines in diagnostic radiology
Description

This project aims to create data pipelines in diagnostic radiology in order to supply analysis and visualization tools.

The first pipeline is intended for data anonymization according to standard DICOM while the second one allows to supply Kibana (Elasticsearch) or Superset (Apache) platforms.

The Airflow orchestrator (Apache) is used to automate the execution of pipelines which could eventually supply dynamic dashboards. 
 

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Effect of oxygen pressure in cancerous tissue cells on radiotherapy treatments

Student member : Corinne Chouinard

Radiotherapy treatments currently used in the clinical field are rarely modified. They generally consist of a global therapy of 50 grays, fractionated in five treatments of two grays every week for five weeks.
Thus, it could be worthwhile to develop a numeric tool, based on mathematical models found in the literature, in order to compare different types of treatment without having to test them on real tissues. Several parameters are known to alter the tissue response after irradiation including oxygen

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