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 Articles Article Faculty Publications -Articles 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 CMT-CNN: colposcopic multimodal temporal hybrid deep learning model to detect cervical intraepithelial neoplasia Subject The topic of the resource Attention mechanism; Cervical cancer; Deep learning; EfficientNet; Specular reflections Description An account of the resource Cervical cancer poses a significant threat to women's health in developing countries, necessitating effective early detection methods. In this study, we introduce the Colposcopic Multimodal Temporal Convolution Neural Network (CMT-CNN), a novel model designed for classifying cervical intraepithelial neoplasia by leveraging sequential colposcope images and integrating extracted features with clinical data. Our approach incorporates Mask R-CNN for precise cervix region segmentation and deploys the EfficientNet B7 architecture to extract features from saline, iodine, and acetic acid images. The fusion of clinical data at the decision level, coupled with Atrous Spatial Pyramid Pooling-based classification, yields remarkable results: an accuracy of 92.31%, precision of 90.19%, recall of 89.63%, and an F-1 score of 90.72. This achievement not only establishes the superiority of the CMT-CNN model over baselines but also paves the way for future research endeavours aiming to harness heterogeneous data types in the development of deep learning models for cervical cancer screening. The implications of this work are profound, offering a potent tool for early cervical cancer detection that combines multimodal data and clinical insights, potentially saving countless lives. 2024, Universitas Ahmad Dahlan. All rights reserved. Creator An entity primarily responsible for making the resource Mukku L.; Thomas J. Source A related resource from which the described resource is derived International Journal of Advances in Intelligent Informatics, Vol-10, No. 2, pp. 317-332. Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.26555/ijain.v10i2.1527" target="_blank" rel="noreferrer noopener">https://doi.org/10.26555/ijain.v10i2.1527</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201378902&amp;doi=10.26555%2Fijain.v10i2.1527&amp;partnerID=40&amp;md5=a5e8814cc8b34089037f3d24f32fa92f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201378902&amp;doi=10.26555%2fijain.v10i2.1527&amp;partnerID=40&amp;md5=a5e8814cc8b34089037f3d24f32fa92f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 24426571 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mukku L., CHRIST(Deemed to be University), Kengeri, Bangalore, 560074, India; Thomas J., CHRIST(Deemed to be University), Kengeri, Bangalore, 560074, India