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...

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Detaylı Bibliyografya
Yayımlandı:IEEE Trans Med Imaging
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2020
Konular:
Article
Online Erişim: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
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