Segmentation of pelvic vessels in pediatric MRI using a patch based learning approach

Alessio Virzi; Pietro Gori; Cécile Muller; Eva Mille; Quoc Peyrot; Laureline Berteloot; Nathalie Boddaert; Sabine Sarnacki; Isabelle Bloch

Conference papers

Segmentation of pelvic vessels in pediatric MRI using a patch based learning approach

Alessio Virzi ^{1, 2} Pietro Gori ^{1, 2} Cécile Muller ^{1, 2} Eva Mille Quoc Peyrot Laureline Berteloot Nathalie Boddaert Sabine Sarnacki Isabelle Bloch ^{1, 2}

1 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse

LTCI - Laboratoire Traitement et Communication de l'Information

2 IDS - Département Images, Données, Signal

Document type :

Conference papers

Domain :

Computer Science [cs] / Machine Learning [cs.LG]

Computer Science [cs] / Medical Imaging

Computer Science [cs] / Image Processing [eess.IV]

Complete list of metadata

https://hal.telecom-paris.fr/hal-02287947
Contributor : TelecomParis HAL Connect in order to contact the contributor
Submitted on : Friday, September 13, 2019 - 5:31:27 PM
Last modification on : Wednesday, November 3, 2021 - 6:22:57 AM

Segmentation of pelvic vessels in pediatric MRI using a patch based learning approach

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Segmentation of pelvic vessels in pediatric MRI using a patch based learning approach

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