Show simple item record

dc.contributor.authorTan Xiao, Jian
dc.contributor.authorNazahah, Mustafa
dc.contributor.authorMohd Yusoff, Mashor
dc.contributor.authorKhairul Shakir, Ab Rahman
dc.date.accessioned2020-12-16T08:26:02Z
dc.date.available2020-12-16T08:26:02Z
dc.date.issued2019
dc.identifier.citationJournal of Physics: Conference Series, vol.1372, 2019, 6 pagesen_US
dc.identifier.issn1742-6588 (print)
dc.identifier.issn1742-6596 (online)
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/69023
dc.descriptionLink to publisher's homepage at https://iopscience.iop.org/en_US
dc.description.abstractMitotic assessment is one of the critical features in the Nottingham Histological Grading (NHG) system for breast cancer grading. In recent years, rapid development in the performance of mounted camera, computer processing power, and data processing speed have fostered the research interest in detection of mitotic cells using image processing techniques. This paper is meant as an introduction of the recent methods and approaches specifically in detection of mitotic cells for the non-experts. It starts with overview of the grading system, online dataset, and the recent proposed methods in each step (i.e., color normalization, nuclei detection, feature extraction, and classification) of the mitotic cell assessment procedure. A brief discussion and the open problems pertinent to the established works were presented at the end of this paper.en_US
dc.language.isoenen_US
dc.publisherIOP Publishingen_US
dc.relation.ispartofseriesInternational Conference on Biomedical Engineering (ICoBE);
dc.subjectMitotic assessmenten_US
dc.subjectBreast histopathologyen_US
dc.subjectMitotic cell detectionen_US
dc.titleMitotic Cell Detection in Breast Histopathology Image: a reviewen_US
dc.typeArticleen_US
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1742-6596/1372/1/012026/pdf
dc.contributor.urlnazahah@unimap.edu.myen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record