Copertina di Prostate Segmentation in Ultrasound and Magnetic Resonance Images
Titolo del libro:

Prostate Segmentation in Ultrasound and Magnetic Resonance Images

Scholars' Press (23.05.2016 )

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ISBN-13:

978-3-659-83845-3

ISBN-10:
3659838454
EAN:
9783659838453
Lingua del libro:
Inglese
Risvolto di copertina:
Prostate segmentation in trans rectal ultrasound (TRUS) and magnetic resonance images (MRI) facilitates volume estimation, multi-modal image registration, surgical planing and image guided prostate biopsies. The objective of this work was to develop shape and region prior deformable models for accurate, robust and computationally efficient prostate segmentation in TRUS and MRI images. Primary contribution of this work was in adopting a probabilistic learning approach to achieve soft classification of the prostate for automatic initialization and evolution of a shape and region prior deformable models for prostate segmentation in TRUS images. Region based energy was determined from region based statistics of the posterior probabilities. Graph cut energy minimization framework was adopted for prostate segmentation in MRI. Posterior probabilities obtained in a supervised learning schema and from a probabilistic segmentation of the prostate using an atlas are fused in logarithmic domain to reduce segmentation error. Finally a graph cut energy minimization in the stochastic framework achieves prostate segmentation in MRI.
Casa editrice:
Scholars' Press
Sito Web:
http://www.scholars-press.com
Da (autore):
Soumya Ghose, Arnau Olivier, Fabrice Meriaudeau
Numero di pagine:
152
Pubblicato il:
23.05.2016
Giacenza di magazzino:
Disponibile
categoria:
Software applicativo
Prezzo:
67,90 €
Parole chiave:
Ultrasound, Prostate segmentation, magnetic resonance images, random forest, active appearance models, manifold learning

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