A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

Author:

Ghose Soumya,Oliver Arnau,Martí Robert,Lladó Xavier,Vilanova Joan C.,Freixenet Jordi,Mitra Jhimli,Sidibé Désiré,Meriaudeau Fabrice

Funder

Spanish Science and Innovation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference137 articles.

1. Prostate Cancer Statistics – Key Facts, 2011, info.cancerresearchuk.org/cancerstats/types/prostate (accessed 01.04.11).

2. Atlas-based prostate segmentation using an hybrid registration;Martin;International Journal of Computer Assisted Radiology and Surgery,2008

3. Combining a deformable model and a probabilistic framework for an automatic 3d segmentation of prostate on MRI;Makni;International Journal of Computer Assisted Radiology and Surgery,2009

4. Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI;Ozer;Medical Physics,2010

5. Computer-assisted diagnosis of prostate cancer using DCE-MRI data: design, implementation and preliminary results;Puech;International Journal of Computer Assisted Radiology and Surgery,2009

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