Developements de nouveaux outils de l’apprentissage automatique pour classification, analyse et inter

When:
31/01/2021 – 01/02/2021 all-day
2021-01-31T01:00:00+01:00
2021-02-01T01:00:00+01:00

Offre en lien avec l’Action/le Réseau : ATLAS/Doctorants

Laboratoire/Entreprise : L2S
Durée : 4 to 6 month
Contact : djafari@lss.supelec.fr
Date limite de publication : 2021-01-31

Contexte :
Development of new Machine Learning methods for classification, analysis and interpretation of images for Orthodontics
The main idea is to continue to develop new methods of ML for classification, analysis and interpretation of different kind of orthodontics images such as:
• Lateral x-rays radiography for
— determining the degrees of maturation of the vertebra;
— automatic contouring the the vertebra;
— automatic cephalometric analysis, etc.
• Panoramic x-rays radiography — for automatic contouring the teeth; — classification of degree of inclination of incisives;

Sujet :
Development of new Machine Learning methods for classification, analysis and interpretation of images for Orthodontics
The main idea is to continue to develop new methods of ML for classification, analysis and interpretation of different kind of orthodontics images such as:
• Lateral x-rays radiography for
— determining the degrees of maturation of the vertebra;
— automatic contouring the the vertebra;
— automatic cephalometric analysis, etc.
• Panoramic x-rays radiography — for automatic contouring the teeth; — classification of degree of inclination of incisives;

• The main theoretical aspect is related to Interpretable Machine Learning
a large maxillofacial radiology database (15,000 X ray) has already been launched and ready to use for this study

https://scholar.google.fr/scholar?q=Interpretable+Machine+Learning&hl=fr&as_sdt=0&as_vis=1&oi=scholart
https://christophm.github.io/interpretable-ml-book/
• The work will be done in cooperation with other orthodontics physicans
• https://www.makaremi-orthodontie.fr
• https://www.makaremi-orthodontie.fr/media/articles/artificial-intelligence-applications-in-orthognathic-surgery.pdf

Profil du candidat :
stage de Master 2 pour une durée de 4 à 6 mois

Formation et compétences requises :
Machine Learning
Python programming
Image processing
Image classification

Adresse d’emploi :
Due to Covid, main part of the work will be done from home.
A Computer with GPU is available and it can be accessed to run the developed program on image data bases. with remote access by Teamviewer.
However, once a month, it may be necessary to b e on place at the orthodontics institute of Dr. Makaremi
Indeminization: 700 Euros / month

Document attaché : 202012162218_offre_de_stage_2021 .pdf