Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models

Quantification of anatomical shape changes currently relies on scalar global indexes which are largely insensitive to regional or asymmetric modifications. Accurate assessment of pathology-driven anatomical remodeling is a crucial step for the diagnosis and treatment of many conditions. Deep learnin...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:IEEE Trans Med Imaging
Main Authors: Biffi, Carlo, Cerrolaza, Juan J., Tarroni, Giacomo, Bai, Wenjia, de Marvao, Antonio, Oktay, Ozan, Ledig, Christian, Le Folgoc, Loic, Kamnitsas, Konstantinos, Doumou, Georgia, Duan, Jinming, Prasad, Sanjay K., Cook, Stuart A., O’Regan, Declan P., Rueckert, Daniel
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7269693/
https://ncbi.nlm.nih.gov/pubmed/31944949
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2020.2964499
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados