Cuckoo search algorithm for border reconstruction of medical images with rational curves

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dc.contributor.authorGálvez, Akemi
dc.contributor.authorFister, Iztok
dc.contributor.authorFister, Iztok
dc.contributor.authorOsaba, Eneko
dc.contributor.authorSer, Javier Del
dc.contributor.authorIglesias, Andrés
dc.contributor.editorTan, Ying
dc.contributor.editorShi, Yuhui
dc.contributor.editorNiu, Ben
dc.contributor.institutionQuantum
dc.contributor.institutionIA
dc.date.accessioned2024-07-24T11:57:03Z
dc.date.available2024-07-24T11:57:03Z
dc.date.issued2019
dc.descriptionPublisher Copyright: © Springer Nature Switzerland AG 2019.
dc.description.abstractBorder reconstruction is a key technology in medical image processing, where it is applied to identify and separate different tissues, organs, and tumors in diagnostic procedures. The classical approaches for this problem are based on either linear or polynomial functions to describe the border of the region of interest. However, little effort has been devoted to the more powerful case of rational functions, which extend the polynomial case by including extra degrees of freedom (the weights). As a consequence, rational functions are more difficult to compute. In this paper, we solve the problem by applying a nature-inspired swarm intelligence method called cuckoo search algorithm. The method is applied to two illustrative examples of medical images with satisfactory results.en
dc.description.sponsorshipzon 2020 program), #TIN2017-89275-R (Spanish Research Agency, AEI/UE FEDER), P2-0057 & P2-0041 (Slovenian Research Agency) and EMAITEK (Basque Government). Work supported by projects: PDE-GIR #778035 (EU Horizon 2020 program), #TIN2017-89275-R (Spanish Research Agency, AEI/UE FEDER), P2-0057 & P2-0041 (Slovenian Research Agency) and EMAITEK (Basque Government). Acknowledgements. Work supported by projects: PDE-GIR #778035 (EU Hori-
dc.description.statusPeer reviewed
dc.format.extent11
dc.identifier.citationGálvez , A , Fister , I , Fister , I , Osaba , E , Ser , J D & Iglesias , A 2019 , Cuckoo search algorithm for border reconstruction of medical images with rational curves . in Y Tan , Y Shi & B Niu (eds) , Advances in Swarm Intelligence - 10th International Conference, ICSI 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 11655 LNCS , Springer Verlag , pp. 320-330 , 10th International Conference on Swarm Intelligence, ICSI 2019 , Chiang Mai , Thailand , 26/07/19 . https://doi.org/10.1007/978-3-030-26369-0_30
dc.identifier.citationconference
dc.identifier.doi10.1007/978-3-030-26369-0_30
dc.identifier.isbn9783030263683
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11556/2692
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85073904091&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofAdvances in Swarm Intelligence - 10th International Conference, ICSI 2019, Proceedings
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.projectIDAEI/UE FEDER, P2-0041-P2-0057
dc.relation.projectIDEMAITEK
dc.relation.projectIDSpanish Research Agency
dc.relation.projectIDHorizon 2020 Framework Programme, H2020, 778035
dc.relation.projectIDFederación Española de Enfermedades Raras, FEDER
dc.relation.projectIDEusko Jaurlaritza
dc.relation.projectIDJavna Agencija za Raziskovalno Dejavnost RS, ARRS
dc.relation.projectIDHorizon 2020, 2017-89275-R
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsBorder reconstruction
dc.subject.keywordsCuckoo search algorithm
dc.subject.keywordsMedical imaging
dc.subject.keywordsRational curves
dc.subject.keywordsSwarm intelligence
dc.subject.keywordsTheoretical Computer Science
dc.subject.keywordsGeneral Computer Science
dc.titleCuckoo search algorithm for border reconstruction of medical images with rational curvesen
dc.typeconference output
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