Gross feature recognition of Anatomical Images based on Atlas grid (GAIA): Incorporating the local discrepancy between an atlas and a target image to capture the features of anatomic brain MRI()

We aimed to develop a new method to convert T1-weighted brain MRIs to feature vectors, which could be used for content-based image retrieval (CBIR). To overcome the wide range of anatomical variability in clinical cases and the inconsistency of imaging protocols, we introduced the Gross feature reco...

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Detalles Bibliográficos
Autores principales: Qin, Yuan-Yuan, Hsu, Johnny T., Yoshida, Shoko, Faria, Andreia V., Oishi, Kumiko, Unschuld, Paul G., Redgrave, Graham W., Ying, Sarah H., Ross, Christopher A., van Zijl, Peter C.M., Hillis, Argye E., Albert, Marilyn S., Lyketsos, Constantine G., Miller, Michael I., Mori, Susumu, Oishi, Kenichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791278/
https://www.ncbi.nlm.nih.gov/pubmed/24179864
http://dx.doi.org/10.1016/j.nicl.2013.08.006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791278/
https://www.ncbi.nlm.nih.gov/pubmed/24179864
http://dx.doi.org/10.1016/j.nicl.2013.08.006

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