Gálvez, AkemiFister, IztokFister, IztokOsaba, EnekoSer, Javier DelIglesias, AndrésTan, YingShi, YuhuiNiu, Ben2024-07-242024-07-242019Gálvez , 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_30conference97830302636830302-9743https://hdl.handle.net/11556/2692Publisher Copyright: © Springer Nature Switzerland AG 2019.Border 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.11enginfo:eu-repo/semantics/restrictedAccessconference output10.1007/978-3-030-26369-0_30Border reconstructionCuckoo search algorithmMedical imagingRational curvesSwarm intelligenceTheoretical Computer ScienceGeneral Computer Sciencehttp://www.scopus.com/inward/record.url?scp=85073904091&partnerID=8YFLogxK