Stage Master/Internship – How does the shape of the hippocampus affect automatic segmentation ?
Inria
Rennes
Stage Master/Internship – How does the shape of the hippocampus affect automatic segmentation ?
Le descriptif de l’offre ci-dessous est en Anglais
Niveau de diplôme exigé : Bac + 4 ou équivalent
Fonction : Stagiaire de la recherche
A propos du centre ou de la direction fonctionnelle
Le centre Inria de l'Université de Rennes est l'un des huit centres d’Inria et compte plus d'une trentaine d’équipes de recherche. Le centre Inria est un acteur majeur et reconnu dans le domaine des sciences numériques. Il est au cœur d'un riche écosystème de R&D et d’innovation : PME fortement innovantes, grands groupes industriels, pôles de compétitivité, acteurs de la recherche et de l’enseignement supérieur, laboratoires d'excellence, institut de recherche technologique
Contexte et atouts du poste
The hippocampus is a bilateral brain structure of the temporal lobe which is implicated in memory processes, spatial navigation and in various pathologies such as Alzheimer’s disease, epilepsy, depression or schizophrenia. The hippocampus is a small structure with an elongated shape (length of 4 to 4.5 cm, width of 1 to 2 cm), and a highly variable anatomical shape, making their segmentation challenging for subsequent analysis, affecting its shape and its volume, and potentially the results.
Mission confiée
The goal of this internship is to estimate whether anatomical shape variability impacts automatic segmentation algorithms and how, in order to know if there is particular hippocampal shape(s) leading to failed segmentation for a given method. The general idea would be to investigate whether and how errors across various segmentation pipelines relate to 'ground truth' variations in hippocampal shape. The selected candidate will have access to manually segmented MRI that would be the ground truth to which automated segmentation methods will be compared. The candidate will then have to analyse the variability of each automated method, and of the ground truth, to then determine particular hippocampal shapes involved in automated hippocampal segmentation fails.
Principales activités
- Bibliographic research
- Understanding, implementation and application of automatic segmentation methods
- Data analysis: Definition of adapted metric
additional activities :
- Present the work progress during lab seminar
- Co-writing a scientific paper
- Interact with other researchers
Compétences
– Good knowledge in applied mathematics and/or computer science.
– Strong interest in neuro-imaging.
– Knowledge in image processing.
Avantages
- Prise en charge à 50 % des frais de transport en commun sur le trajet domicile-travail ou FMD.
- Restauration subventionnée
- Prise en charge partielle des frais de mutuelle
- Possibilité de télétravail (à hauteur de 90 jours annuels) et d'aménagement du temps de travail
Rémunération
Gratification : 4,05 €/heure