ABSTRACT
Learning techniques have shown high efficacy rates when applied to similar clinical problems (Jabarouti et al. 2011; Mazurowski et al. 2008; Nassar et al. 2007; Said et al. 2006; Lisboa 2002). Recent studies over biological tissue classification or similar applications subjects achieve tissue recognition using different segmentation approaches such as mean shift clustering, region growing, watersheds, and histogram thresholds (Koutsouri et al. 2013; Anuradha et al. 2012; Kang et al. 2010; Perez et al. 2001; Stelt et al. 1985). Furthermore, texture analysis can be used to separate different significant regions in digital images of human tissues or organs (Veredas et al. 2010).
