Riemannian Geometric Statistics in Medical Image Analysis /

Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometr...

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Bibliographic Details

Corporate Author:	ScienceDirect (Online service)
Other Authors:	Pennec, Xavier, 1970-, Sommer, Stefan, Fletcher, Tom (Computer scientist)
Format:	eBook
Language:	English
Published:	San Diego : Academic Press, [2020]
Subjects:	Diagnostic imaging > Statistical methods. Imagerie pour le diagnostic > Méthodes statistiques. Diagnostic imaging > Statistical methods Electronic books.
Online Access:	Connect to the full text of this electronic book