Automatic Size And Pose Homogenization With Spatial Transformer Network To Improve And Accelerate Pediatric Segmentation

Autor: Pietro Gori, Alessandro Delmonte, Jeanne Goulin, Sabine Sarnacki, Laurence Rouet, Haithem Boussaid, Bruno Belucci, Isabelle Bloch, Giammarco La Barbera

Publikováno v: ISBI
ISBI 2021-IEEE International Symposium on Biomedical Imaging
ISBI 2021-IEEE International Symposium on Biomedical Imaging, Apr 2021, Nice, France. pp.1773-1776, ⟨10.1109/ISBI48211.2021.9434090⟩

Due to a high heterogeneity in pose and size and to a limited number of available data, segmentation of pediatric images is challenging for deep learning methods. In this work, we propose a new CNN architecture that is pose and scale invariant thanks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f70fc1460f1374889d93e56e6043d10c
https://doi.org/10.1109/isbi48211.2021.9434090