Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm-Reference-Cited by-同舟云学术

Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm

Published:2017-08-30 Issue: Volume: Page:23-37
ISSN:2190-3018
Container-title:Multidisciplinary Approaches to Neural Computing
language:
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Author:

Rundo Leonardo,Militello Carmelo,Russo Giorgio,D’Urso Davide,Valastro Lucia Maria,Garufi Antonio,Mauri Giancarlo,Vitabile Salvatore,Gilardi Maria Carla

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-56904-8_3

Reference26 articles.

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2. Rouvière, O., Lyonnet, D., Raudrant, A., Colin-Pangaud, C., Chapelon, J.Y., Bouvier, R., Dubernard, J.M., Gelet, A.: MRI appearance of prostate following transrectal HIFU ablation of localized cancer. Eur. Urol. 40, 265–274 (2001). doi: 10.1159/000049786

3. Villeirs, G.M., De Meerleer, G.O.: Magnetic resonance imaging (MRI) anatomy of the prostate and application of MRI in radiotherapy planning. Eur. J. Radiol. 63(3), 361–368 (2007). doi: 10.1016/j.ejrad.2007.06.030

4. Ghose, S., Oliver, A., Martí, R., Lladó, X., Vilanova, J.C., Freixenet, J., Mitra, J., Sidibé, D., Meriaudeau, F.: A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images. Comput. Meth. Prog. Bio. 108(1), 262–287 (2012). doi: 10.1016/j.cmpb.2012.04.006

5. Chilali, O., Ouzzane, A., Diaf, M., Betrouni, N.: A survey of prostate modeling for image analysis. Comput. Biol. Med. 53, 190–202 (2014). doi: 10.1016/j.compbiomed.2014.07.019

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