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Identifying Potentially Cancerous Tissues in Chromoendoscopy Images
Farhan Riaz, Fernando Vilariño, Mario Dinis-Ribeiro, & Miguel Coimbraln. (2011). “Identifying Potentially Cancerous Tissues in Chromoendoscopy Images ” In and M. Hernandez J. M. S. J. Vitria (Ed.), 5th Iberian Conference on Pattern Recognition and Image Analysis (Vol. 6669, pp. 709–716). Berlin: Springer.
The dynamics of image acquisition conditions for gastroenterology imaging scenarios pose novel challenges for automatic computer assisted decision systems. Such systems should have the ability to mimic the tissue characterization of the physicians. In this paper, our objective is to compare some feature extraction methods to classify a Chromoendoscopy image into two different classes: Normal and Potentially cancerous. Results show that LoG filters generally give best classification accuracy among the other feature extraction methods considered.
Identifying Potentially Cancerous Tissues in Chromoendoscopy ImagesFarhan RiazFernando VilariñoMario Dinis-RibeiroMiguel CoimbralnJ. Vitria, J.M.S., and M. Hernandezinfo:doi/10.1007/978-3-642-21257-4_88urn:ISBN:978-3-642-21256-7openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cvc.uab.es%2F&genre=proceeding&title=Identifying%20Potentially%20Cancerous%20Tissues%20in%20Chromoendoscopy%20Images&isbn=978-3-642-21256-7&date=2011&volume=6669&spage=709&epage=716&aulast=Farhan%20Riaz&au=Fernando%20Vilari%C3%B1o&au=Mario%20Dinis-Ribeiro&au=Miguel%20Coimbraln&pub=Springer&place=Berlin&id=info%3Adoi%2F10.1007%2F978-3-642-21257-4_88&sid=refbase%3ACVCFarhan Riaz, Fernando Vilariño, Mario Dinis-Ribeiro, & Miguel Coimbraln. (2011).<a target='_blank' href='/files/RVD2011.pdf'> "Identifying Potentially Cancerous Tissues in Chromoendoscopy Images "</a> In and M. Hernandez J. M. S. J. Vitria (Ed.), 5th Iberian Conference on Pattern Recognition and Image Analysis (Vol. 6669, pp. 709-716). Berlin: Springer.LNCS2011ConferencePapertextEndoscopy, Computer Assisted Diagnosis, Gradient.file:http://refbase.cvc.uab.es/files/RVD2011.pdfSpringer5th Iberian Conference on Pattern Recognition and Image Analysis20116669709716