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This article is part of the supplement: Proceedings of the 11th European Congress on Telepathology and 5th International Congress on Virtual Microscopy

Open Access Open Badges Proceedings

An entropy-based automated approach to prostate biopsy ROI segmentation

Gloria Bueno1*, Maria-Milagro Fernández-Carrobles1, Oscar Déniz1, Jesús Salido1, Noelia Vállez1 and Marcial García-Rojo2

Author Affiliations

1 VISILAB, E.T.S.Ingenieros Industriales, Universidad de Castilla-La Mancha, Spain

2 Dpto. Anatomía Patológica, Hospital General Universitario de Ciudad Real, Spain

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Diagnostic Pathology 2013, 8(Suppl 1):S24  doi:10.1186/1746-1596-8-S1-S24

Published: 30 September 2013

First paragraph (this article has no abstract)

Despite significant improvements in computer vision and image processing techniques, there are few software tools that are able to analyze prostate biopsy images in a fully automated way in order to find ROIs in those images. In order to develop a useful system, user interaction should be minimized, and the system should also be capable of dealing with images acquired at least at 10x magnification, since images of lower resolution do not provide enough information for cancer diagnosis.