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 A Quantum-Inspired Self-Supervised Network model for automatic segmentation of brain MR images Subject The topic of the resource Fully Convolutional Neural Network; Medical image segmentation; QIBDS Net; Quantum computing; U-Net Description An account of the resource The classical self-supervised neural network architectures suffer from slow convergence problem and incorporation of quantum computing in classical self-supervised networks is a potential solution towards it. In this article, a fully self-supervised novel quantum-inspired neural network model referred to as Quantum-Inspired Self-Supervised Network (QIS-Net) is proposed and tailored for fully automatic segmentation of brain MR images to obviate the challenges faced by deeply supervised Convolutional Neural Network (CNN) architectures. The proposed QIS-Net architecture is composed of three layers of quantum neuron (input, intermediate and output) expressed as qbits. The intermediate and output layers of the QIS-Net architecture are inter-linked through bi-directional propagation of quantum states, wherein the image pixel intensities (quantum bits) are self-organized in between these two layers without any external supervision or training. Quantum observation allows to obtain the true output once the superimposed quantum states interact with the external environment. The proposed self-supervised quantum-inspired network model has been tailored for and tested on Dynamic Susceptibility Contrast (DSC) brain MR images from Nature data sets for detecting complete tumor and reported promising accuracy and reasonable dice similarity scores in comparison with the unsupervised Fuzzy C-Means clustering, self-trained QIBDS Net, Opti-QIBDS Net, deeply supervised U-Net and Fully Convolutional Neural Networks (FCNNs). 2020 Elsevier B.V. Creator An entity primarily responsible for making the resource Konar D.; Bhattacharyya S.; Gandhi T.K.; Panigrahi B.K. Source A related resource from which the described resource is derived Applied Soft Computing Journal, Vol-93 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.asoc.2020.106348" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.asoc.2020.106348</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084599667&amp;doi=10.1016%2Fj.asoc.2020.106348&amp;partnerID=40&amp;md5=d5dd2e70f058ba932f5aad2d375e752d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084599667&amp;doi=10.1016%2fj.asoc.2020.106348&amp;partnerID=40&amp;md5=d5dd2e70f058ba932f5aad2d375e752d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15684946 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 Konar D., Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India, Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India; Bhattacharyya S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Gandhi T.K., Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India; Panigrahi B.K., Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India