Mitosis Detection in Breast Cancer Histological Images with Mathematical Morphology

dc.authorwosid Lefevre, Sebastien/S-9444-2017
dc.authorwosid Aptoula, Erchan/AAI-1070-2020
dc.contributor.author Aptoula, Erchan
dc.contributor.author Courty, Nicolas
dc.contributor.author Lefevre, Sebastien
dc.date.accessioned 2024-10-15T20:18:28Z
dc.date.available 2024-10-15T20:18:28Z
dc.date.issued 2013
dc.department Okan University en_US
dc.department-temp [Aptoula, Erchan] Okan Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey; [Courty, Nicolas; Lefevre, Sebastien] South Britanny Univ, Bilgisayar Muhendisligi Bolumu, Vannes, France en_US
dc.description.abstract One of the most important outcome predictors of malignant tumors is the mitotic count, i.e. the division speed of cells. This value is computed from the patient's tissue samples by medical experts, that count each mitosis case one by one under a microscope, and as such it is a time consuming process. In order to accelerate it, we present in this paper a system capable of mitosis detection from histological breast cancer images. To this end we have developed a fully automatic solution based on mathematical morphology. The proposed approach has achieved the 10th best performance among 14 teams at the international mitosis detection contest organized by ICPR' 12. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citationcount 0
dc.identifier.isbn 9781467355636
dc.identifier.isbn 9781467355629
dc.identifier.issn 2165-0608
dc.identifier.uri https://hdl.handle.net/20.500.14517/6380
dc.identifier.wos WOS:000325005300342
dc.language.iso tr
dc.publisher Ieee en_US
dc.relation.ispartof 21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS en_US
dc.relation.ispartofseries Signal Processing and Communications Applications Conference
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Mathematical morphology en_US
dc.subject watershed transform en_US
dc.subject texture description en_US
dc.subject circular covariance histogram en_US
dc.title Mitosis Detection in Breast Cancer Histological Images with Mathematical Morphology en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0

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