Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm

2017-07-15

Presented at the Genetic and Evolutionary Computation Conference (July 2017), Berlin

Additional Metadata
Keywords	Empirical study, Genetic algorithms, Medicine, Multi-objective optimization
Stakeholder	Elekta, Veenendaal, The Netherlands
Persistent URL	doi.org/10.1145/3071178.3071311
Project	ICT based Innovations in the Battle against Cancer – Next - Generation Patient -Tailored Brachytherapy Cancer Treatment Planning
Conference	Genetic and Evolutionary Computation Conference
Grant	This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/628.006.003 - ICT based Innovations in the Battle against Cancer – Next - Generation Patient -Tailored Brachytherapy Cancer Treatment Planning
Organisation	Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Sadowski, K.L, van der Meer, M.C, Luong, N.H, Alderliesten, T, Thierens, D, van der Laarse, R, … Bosman, P.A.N. (2017). Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm. In GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference (pp. 1224–1231). doi:10.1145/3071178.3071311

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