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BioMed Research International
Volume 2014 (2014), Article ID 239706, 10 pages
http://dx.doi.org/10.1155/2014/239706
Research Article

Diagnosis System for Hepatocellular Carcinoma Based on Fractal Dimension of Morphometric Elements Integrated in an Artificial Neural Network

1Research Center of Gastroenterology and Hepatology, University of Medicine and Pharmacy of Craiova, Petru Rares Street, No. 2, 200349 Craiova, Romania
2Department of Medical Informatics, University of Medicine and Pharmacy of Craiova, Petru Rares Street, No. 2, 200349 Craiova, Romania
3Department of Histology, University of Medicine and Pharmacy of Craiova, Petru Rares Street, No. 2, 200349 Craiova, Romania
4Department of Pathology, University of Medicine and Pharmacy “Carol Davilla,” Bucharest, Bulevardul Eroii Sanitari 8, 050474 București, Romania
52nd Medical Department, University of Medicine and Pharmacy of Craiova, Petru Rares Street, No. 2, 200349 Craiova, Romania
6Department of Surgery, University of Medicine and Pharmacy of Craiova, Petru Rares Street, No. 2, 200349 Craiova, Romania

Received 8 December 2013; Revised 10 March 2014; Accepted 25 March 2014; Published 16 June 2014

Academic Editor: Wei Mike Liu

Copyright © 2014 Dan Ionuț Gheonea et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Dan Ionuț Gheonea, Costin Teodor Streba, Cristin Constantin Vere, et al., “Diagnosis System for Hepatocellular Carcinoma Based on Fractal Dimension of Morphometric Elements Integrated in an Artificial Neural Network,” BioMed Research International, vol. 2014, Article ID 239706, 10 pages, 2014. doi:10.1155/2014/239706