An algorithm for learning shape and appearance models without annotations

This paper presents a framework for automatically learning shape and appearance models for medical (and certain other) images. The algorithm was developed with the aim of eventually enabling distributed privacy-preserving analysis of brain image data, such that shared information (shape and appearan...

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Detalles Bibliográficos
Autores principales: Ashburner, John, Brudfors, Mikael, Bronik, Kevin, Balbastre, Yaël
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554617/
https://www.ncbi.nlm.nih.gov/pubmed/31096134
http://dx.doi.org/10.1016/j.media.2019.04.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554617/
https://www.ncbi.nlm.nih.gov/pubmed/31096134
http://dx.doi.org/10.1016/j.media.2019.04.008

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