Riemannian Geometric Statistics in Medical Image Analysis

Publikation: Bog/antologi/afhandling/rapportBog

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 Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods.
OriginalsprogEngelsk
ForlagAcademic Press
Udgave1.
Antal sider636
ISBN (Trykt)9780128147252
ISBN (Elektronisk) 9780128147269
DOI
StatusUdgivet - 2020

ID: 231753617