A systematic comparison of generative models for medical images

PURPOSE: This work aims for a systematic comparison of popular shape and appearance models. Here, two statistical and four deep-learning-based shape and appearance models are compared and evaluated in terms of their expressiveness described by their generalization ability and specificity as well as...

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Detalles Bibliográficos
Autores principales: Uzunova, Hristina, Wilms, Matthias, Forkert, Nils D., Handels, Heinz, Ehrhardt, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206635/
https://www.ncbi.nlm.nih.gov/pubmed/35128605
http://dx.doi.org/10.1007/s11548-022-02567-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206635/
https://www.ncbi.nlm.nih.gov/pubmed/35128605
http://dx.doi.org/10.1007/s11548-022-02567-6

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