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 An efficient classification of cirrhosis liver disease using hybrid convolutional neural network-capsule network Subject The topic of the resource Adaptive emperor penguin optimization; Deep learning; Imaging modalities; Liver cirrhosis Description An account of the resource Liver cirrhosis is the diffuse and advanced phase of liver disease. Several morphological methods are used for imaging modalities. But, these modalities are biased and lack in higher detection accuracy. Hence, this work introduces automated cirrhosis liver disease classification using an optimized hybrid deep learning model. In this work, Magnetic Resonance Image (MRI) is considered for the process. Initially, an Extended Guided Filter (EGF) is used for eliminating the noise from input MRI images. Binomial thresholding is used to segment the tumor from the image. Then, Feature Extraction (FE) phase is carried out by Grey Level Co-occurrence Matrix (GLCM) and Gray level Run-length Matrix (GRLM). Finally, a hybrid of two Deep Learning (DL) algorithms Convolutional Neural Network and Capsule Network (HCNN-CN) are integrated to classify the Cirrhosis liver disease. Moreover, for fine tuning the parameters of the neural network, an optimization approach Adaptive Emperor Penguin Optimization (AEPO) is used. The proposed HCNN-CN-AEPO is compared over several approaches and depicted accuracy and sensitivity value of 0.993 and 0.986 on the real time dataset. The experimental results proved that the proposed HCNN-CN-AEPO can exactly diagnose the tumour. 2022 Elsevier Ltd Creator An entity primarily responsible for making the resource Shaheen H.; Ravikumar K.; Lakshmipathi Anantha N.; Uma Shankar Kumar A.; Jayapandian N.; Kirubakaran S. Source A related resource from which the described resource is derived Biomedical Signal Processing and Control, Vol-80 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.bspc.2022.104152" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.bspc.2022.104152</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140137549&amp;doi=10.1016%2Fj.bspc.2022.104152&amp;partnerID=40&amp;md5=e2e8f46a450dfafb8f36b3f824c8e37f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140137549&amp;doi=10.1016%2fj.bspc.2022.104152&amp;partnerID=40&amp;md5=e2e8f46a450dfafb8f36b3f824c8e37f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17468094 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 Shaheen H., Department of Computer Science and Engineering, MVJ College of Engineering, Bangalore, India; Ravikumar K., Dept. Of Cse, Rrase College Of Engg, Chennai Padappai, India; Lakshmipathi Anantha N., CSE Department, Malla Reddy Engineering College, Hyderabad, India; Uma Shankar Kumar A., K.S.R.M. College of Engineering, Andhra Pradesh, Kadapa, India; Jayapandian N., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Kirubakaran S., Department of Computer Science and Engineering, CMR College of Engineering and Technology, Hyderabad, India