Impact of duodenal image capturing techniques and duodenal regions on the performance of automated diagnosis of celiac disease

Various techniques have been developed for an automated classification of endoscopic images. Besides the classical methods for endoscopic image capturing, new methods like the modified immersion technique have been devised and are in use. The impact of specific image capturing techniques for feature extraction and classification in automated diagnosis is unclear. This work applies several well tested methods for feature extraction and classification on images captured with the conventional and the modified immersion technique. We compare the classification rates and the impact on feature extraction of each specific capturing technique. We also compare the classification rates of different duodenal regions. Finally we advise an optimal combination of image capturing technique, duodenal region and feature extraction methods for automated celiac disease diagnosis.