Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Kidney Abnormalities Detection and Classification Using CNN-based Feature Extraction Subject The topic of the resource CNN model; Entropy; Feature Extraction; Kidney diseases; Pre-processing; Ultrasound kidney images Description An account of the resource The presents of noises degrade the quality of ultrasound images and diminishes the disease diagnosis accuracy. Thus, an effective automatic stone and cyst detection system is beneficial to both the medical practitioners and patients. In this paper, an automatic detection and classification system for kidney stone and cyst image is proposed. The Gaussian filtering and Contrast Limited Adaptive Histogram Equalization (CLHE) techniques are applied to improve the quality of the images. In the next step, segmentation has been done based on the entropy of the image. The gamma correction technique has been applied to improve the overall brightness and an optimal global threshold value is selected to extract the region. The CNN model has attained much attention in medical image recognition and classification. In this paper, the pre-trained model ResNet-50 is utilized as a feature-extractor and Support Vector Machine as classifier to categorize the normal, cyst and stone images. The CNN model is analyzed with various other classification models such as k-nearest neighbor, decision tree and Nae Bayes. The results demonstrate that the ResNet-50 with supervised classification algorithm SVM is an optimal solution for analyzing kidney diseases. 2022 IEEE. Creator An entity primarily responsible for making the resource George M.; Anita H.B. Source A related resource from which the described resource is derived 4th International Conference on Circuits, Control, Communication and Computing, I4C 2022, pp. 359-362. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/I4C57141.2022.10057855" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/I4C57141.2022.10057855</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150266875&amp;doi=10.1109%2FI4C57141.2022.10057855&amp;partnerID=40&amp;md5=037ebab18c1f1f0bfbaa889443833e17" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150266875&amp;doi=10.1109%2fI4C57141.2022.10057855&amp;partnerID=40&amp;md5=037ebab18c1f1f0bfbaa889443833e17</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039747-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant George M., CHRIST UNIVERSITY, Dept. of Computer Science, Bengaluru, India; Anita H.B., CHRIST UNIVERSITY, Dept. of Computer Science, Bengaluru, India