<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches"^^ . "Background and Objective: The increased incidence of colorectal cancer (CRC) and its mortality rate have attracted interest in the use of artificial intelligence (AI) based computer-aided diagnosis (CAD) tools to detect polyps at an early stage. Although these CAD tools have thus far achieved a good accuracy level to detect polyps, they still have room to improve further (e.g. sensitivity). Therefore, a new CAD tool is developed in this study to detect colonic polyps accurately. Methods: In this paper, we propose a novel approach to distinguish colonic polyps by integrating several techniques, including a modified deep residual network, principal component analysis and AdaBoost ensemble learning. A powerful deep residual network architecture, ResNet-50, was investigated to reduce the computational time by altering its architecture. To keep the interference to a minimum, median filter, image thresholding, contrast enhancement, and normalisation techniques were exploited on the endoscopic images to train the classification model. Three publicly available datasets, i.e., Kvasir, ETIS-LaribPolypDB, and CVC-ClinicDB, were merged to train the model, which included images with and without polyps. Results: The proposed approach trained with a combination of three datasets achieved Matthews Correlation Coefficient (MCC) of 0.9819 with accuracy, sensitivity, precision, and specificity of 99.10, 98.82, 99.37, and 99.38, respectively. Conclusions: These results show that our method could repeatedly classify endoscopic images automatically and could be used to effectively develop computer-aided diagnostic tools for early CRC detection. © 2021"^^ . "2021" . . "206" . . "Elsevier Ireland Ltd"^^ . . . "Computer Methods and Programs in Biomedicine"^^ . . . "01692607" . . . . . . . . . . . . . . . . "W.S."^^ . "Liew"^^ . "W.S. Liew"^^ . . "T.B."^^ . "Tang"^^ . "T.B. Tang"^^ . . "C.-K."^^ . "Lu"^^ . "C.-K. Lu"^^ . . "C.-H."^^ . "Lin"^^ . "C.-H. Lin"^^ . . . . . "HTML Summary of #14799 \n\nAutomatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches\n\n" . "text/html" . .