Riemannian Geometric Statistics in Medical Image Analysis / edited by Xavier Pennec, Stefan Sommer and Tom Fletcher.

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

Online Access:	Full Text (via O'Reilly/Safari)
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. Diagnostic imaging > Statistical methods