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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Moorthy, C.; Shafeek, A.; Paul, Eldho; Madhan, S.; Eswar, D.; Naveenkumar, R. Title A name given to the resource An Intelligent Model for Detecting Cervical Cancer Using U-Net Segmentation and YOLO Classification Augmented with Lion Optimization Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of the 9th International Conference on Inventive Systems and Control, ICISC 2025;pp.715-722 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICISC65841.2025.11188165" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICISC65841.2025.11188165</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105020936146?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020936146?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Moorthy C., Dr. Mahalingam College of Engineering and Technology, Electronics and Communication Engineering, Coimbatore, Pollachi, India; Shafeek A., Dr. Mahalingam College of Engineering and Technology, Electronics and Communication Engineering, Coimbatore, Pollachi, India; Paul E., Electronics and Communication Engineering Christ(Deemed to Be University), Bangalore, India; Madhan S., Dr. Mahalingam College of Engineering and Technology, Electronics and Communication Engineering, Coimbatore, Pollachi, India; Eswar D., Dr. Mahalingam College of Engineering and Technology, Electronics and Communication Engineering, Coimbatore, Pollachi, India; Naveenkumar R., Dr. Mahalingam College of Engineering and Technology, Electronics and Communication Engineering, Coimbatore, Pollachi, India Description An account of the resource One of the leading causes of death for women is cervical cancer, and survival rates are significantly increased by early identification using Pap smear analysis. However, manually reviewing Pap smear images takes time and is prone to mistakes. Using an enhanced Convolutional Neural Network (CNN) with Transformer-like classification and U-Net-based nucleus segmen-tation, this study suggests an automated cervical cancer detection system. To increase feature extraction, the image is preprocessed using techniques such as edge detection, contrast enhancement with CLAHE, and greyscale conversion. The PR-processed image is segmented using U Net segmentation. A YoLo-based CNN optimised with the Lion optimiser (Evolved Sign Momentum) is used to classify the segmented nuclei to improve convergence and accuracy. Results from experiments show that our model outperforms con-ventional methods in terms of classification accuracy. By lowering reliance on manual screening and increasing early diagnosis rates, this automated approach can help medical practitioners detect cervical cancer more quickly and accurately. 2025 IEEE. Subject The topic of the resource Cervical Cancer; CNN; Deep Learning; Lion Optimizer; Medical Image Segmentation; Pap Smear; U-Net Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151247-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online