PT Unknown AU Farhan Riaz Fernando Vilariño Mario Dinis-Ribeiro Miguel Coimbraln TI Identifying Potentially Cancerous Tissues in Chromoendoscopy Images BT 5th Iberian Conference on Pattern Recognition and Image Analysis PY 2011 BP 709 EP 716 VL 6669 DI 10.1007/978-3-642-21257-4_88 DE Endoscopy; Computer Assisted Diagnosis; Gradient. AB 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. PI Berlin ER