Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …

Previous studies showed that intensities, intensity variation, edge densities, structural
entropies of colonoscopy images and their wavelet transforms are good candidates for …

Colonoscopy is the standard device for diagnosing colorectal cancer, which develops from
little lesions on the bowel wall called polyps. The Rényi entropies-based structural entropy …

As colonoscopy is the standard screening approach for colorectal polyps, and the first step
of the correct classification and the efficient automatic diagnostics is the accurate detection …

Hough transform is used to find lines on edge-filtered images that are given in parametric
form. As the fuzzy extension of the Hough transform has been proven to be more robust in …

Colorectal cancer is nowadays the fourth cause of cancer death worldwide. Prevention of
colorectal cancer by detection and removal of early stage lesions is of essential importance …

In the following study the effects of two image preprocessing methods, namely Gaussian
filtering and Wiener filtering, is studied on the results of a fuzzy inference method previously …

In this paper entropy-, and other statistical parameters-as well as convolutional filter-based
preprocessing methods are studied in order to prepare series of images from various …

In the case of computer aided diagnosis it is advantageous to apply such computational
intelligence methods, that can be related to direct measured data by means easily …

For colonoscopy images the main information is in the fine structure of the surface of the
bowel or colorectal polyps, similarly to the case of combustion engine cylinder surface …