[HTML][HTML] Comprehensive review of publicly available colonoscopic imaging databases for artificial intelligence research: availability, accessibility, and usability
BBSL Houwen, KJ Nass, JLA Vleugels… - Gastrointestinal …, 2023 - Elsevier
Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …
are valuable resources for artificial intelligence (AI) research. Currently, little is known …
The effect of image feature qualifiers on fuzzy colorectal polyp detection schemes using KH interpolation-towards hierarchical fuzzy classification of coloscopic still …
Previous studies showed that intensities, intensity variation, edge densities, structural
entropies of colonoscopy images and their wavelet transforms are good candidates for …
entropies of colonoscopy images and their wavelet transforms are good candidates for …
On structural entropy and spatial filling factor analysis of colonoscopy pictures
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 …
little lesions on the bowel wall called polyps. The Rényi entropies-based structural entropy …
Ways of improving of active contour methods in colonoscopy image segmentation
R Ismail, S Nagy - Image Analysis and Stereology, 2022 - ias-iss.org
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 …
of the correct classification and the efficient automatic diagnostics is the accurate detection …
On classical and fuzzy Hough transform in colonoscopy image processing
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 …
form. As the fuzzy extension of the Hough transform has been proven to be more robust in …
On metrics used in colonoscopy image processing for detection of colorectal polyps
R Ismail, S Nagy - … for Multidimensional Signal Processing: Proceedings of …, 2021 - Springer
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 …
colorectal cancer by detection and removal of early stage lesions is of essential importance …
The effects of preprocessing on colorectal polyp detecting by fuzzy algorithm
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 …
filtering and Wiener filtering, is studied on the results of a fuzzy inference method previously …
[PDF][PDF] On Image preprocessing methods for preparation liver CT image series database for intelligent segmentation and classification algorithms
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 …
preprocessing methods are studied in order to prepare series of images from various …
Fuzzy rulebase parameter determination for stabilized KH interpolation based detection of colorectal polyps on colonoscopy images
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 …
intelligence methods, that can be related to direct measured data by means easily …
The effect of background and outlier subtraction on the structural entropy of two-dimensional measured data
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 …
bowel or colorectal polyps, similarly to the case of combustion engine cylinder surface …