Vision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challenges

Simple item page
dc.contributor.authorMuhammad, Khan
dc.contributor.authorKhan, Salman
dc.contributor.authorKumar, Neeraj
dc.contributor.authorDel Ser, Javier
dc.contributor.authorMirjalili, Seyedali
dc.contributor.institutionIA
dc.date.issued2020-12
dc.descriptionPublisher Copyright: © 2020 Elsevier B.V.
dc.description.abstractWireless Capsule Endoscopy (WCE) is a patient-friendly approach for digestive tract monitoring to support medical experts towards identifying any anomaly inside human's Gastrointestinal (GI) tract. The automatic recognition of such type of abnormalities is essential for early diagnosis and time saving. To this end, several computer aided diagnosis (CAD) methods have been proposed in the literature for automatic abnormal region segmentation, summarization, classification, and personalization in WCE videos. In this work, we provide a detailed review of computer vision-based methods for WCE videos analysis. Firstly, all the major domains of WCE video analytics with their generic flow are identified. Secondly, we comprehensively review WCE video analysis methods and surveys with their pros and cons presented to date. In addition, this paper reviews several representative public datasets used for the performance assessment of WCE techniques and methods. Finally, the most important aspect of this survey is the identification of several research trends and open issues in different domains of WCE, with an emphasis placed on future research directions towards smarter healthcare and personalization.en
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea under grant 2016R1A2B4011712 funded by the Korea government (MSIP) . Javier Del Ser also acknowledges funding support from the Basque Government through the EMAITEK and ELKARTEK funding programs, the Consolidated Research Group MATHMODE ( IT1294-19 ) given by the Department of Education as well as by the Spanish Centro para el Desarrollo Tecnológico Industrial (CDTI) through its CERVERA funding program (ref. AI4ES ). This work was supported by the National Research Foundation of Korea under grant 2016R1A2B4011712 funded by the Korea government (MSIP). Javier Del Ser also acknowledges funding support from the Basque Government through the EMAITEK and ELKARTEK funding programs, the Consolidated Research Group MATHMODE (IT1294-19) given by the Department of Education as well as by the Spanish Centro para el Desarrollo Tecnol?gico Industrial (CDTI) through its CERVERA funding program (ref. AI4ES). Dr. Neeraj Kumar (M’16–SM’18) received the Ph.D. degree in computer science engineering from Shri Mata Vaishno Devi University, Katra, India. He was a Postdoctoral Research Fellow with Coventry University, Coventry, U.K. He is currently an Associate Professor with the Department of Computer Science and Engineering, Thapar University, Patiala, India. He has authored or co-authored more than 300 technical research papers in leading journals and conferences from IEEE, Elsevier, Springer, John Wiley and others. Some of his research findings are published in top cited journals such as IEEE TIE, IEEE TDSC, IEEE TITS, IEEE TCC, IEEE TKDE, IEEE TVT, IEEE TCE, IEEE Netw., IEEE Comm., IEEE WC, IEEE IoTJ, IEEE SJ, FGCS, JNCA, and ComCom. He has guided many Ph.D. and M.E./M.Tech. students. His research is supported by fundings from Tata Consultancy Service, Council of Scientific and Industrial Research, and Department of Science and Technology. He is the recipient of the Best Research Paper awards from IEEE ICC 2018 and IEEE Systems Journal 2018. He is leading the research group Sustainable Practices for Internet of Energy and Security (SPINES) where group members are working on the latest cutting-edge technologies. He is a TPC member and reviewer of many international conferences across the globe. He is a visiting Professor at Coventry University, Coventry, U.K. He is in the editorial board of JNCA, Elsevier, IEEE Communication Magazine, IJCS, Wiley, and Security & Privacy, Wiley.
dc.description.statusPeer reviewed
dc.format.extent15
dc.identifier.citationMuhammad , K , Khan , S , Kumar , N , Del Ser , J & Mirjalili , S 2020 , ' Vision-based personalized Wireless Capsule Endoscopy for smart healthcare : Taxonomy, literature review, opportunities and challenges ' , Future Generation Computer Systems , vol. 113 , pp. 266-280 . https://doi.org/10.1016/j.future.2020.06.048
dc.identifier.doi10.1016/j.future.2020.06.048
dc.identifier.issn0167-739X
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85087890213&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofFuture Generation Computer Systems
dc.relation.projectIDDepartment of Education
dc.relation.projectIDSpanish Centro para el Desarrollo Tecnol?gico Industrial
dc.relation.projectIDU.S. Department of Education, ED
dc.relation.projectIDTata Consultancy Services, TCS
dc.relation.projectIDDepartment of Science and Technology, Ministry of Science and Technology, India, डीएसटी
dc.relation.projectIDCouncil of Scientific and Industrial Research, India, CSIR
dc.relation.projectIDCentro para el Desarrollo Tecnológico Industrial, CDTI, AI4ES
dc.relation.projectIDEusko Jaurlaritza, IT1294-19
dc.relation.projectIDMinistry of Science, ICT and Future Planning, MSIP
dc.relation.projectIDNational Research Foundation of Korea, NRF, 2016R1A2B4011712
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsArtificial intelligence
dc.subject.keywordsBiomedical data analysis
dc.subject.keywordsData science
dc.subject.keywordsHealth monitoring
dc.subject.keywordsSmart healthcare
dc.subject.keywordsWireless Capsule Endoscopy
dc.subject.keywordsSoftware
dc.subject.keywordsHardware and Architecture
dc.subject.keywordsComputer Networks and Communications
dc.titleVision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challengesen
dc.typejournal article
Files