Assessment of algorithms for mitosis detection in breast cancer histopathology images
dc.authorid | 0000-0002-8649-6013 | |
dc.authorid | 0000-0002-8649-6013 | en_US |
dc.contributor.author | Veta, Mitko | en_US |
dc.contributor.author | Van Diest, Paul J. | en_US |
dc.contributor.author | Willems, Stefan Martin | en_US |
dc.contributor.author | Wang, Haibo | en_US |
dc.contributor.author | Madabhushi, Anant | en_US |
dc.contributor.author | Cruz-Roa, Angel | en_US |
dc.contributor.author | Gonzalez, Fabio | en_US |
dc.contributor.author | Larsen, Anders Boesen Lindbo | en_US |
dc.contributor.author | Vestergaard, Jacob Schack Chack | en_US |
dc.contributor.author | Dahl, Anders Bjorholm | en_US |
dc.contributor.author | Cireşan, Dan Claudiu | en_US |
dc.contributor.author | Schmidhuber, Jürgen U. | en_US |
dc.contributor.author | Giusti, Alessandro | en_US |
dc.contributor.author | Gambardella, Luca M. | en_US |
dc.contributor.author | Tek, Faik Boray | en_US |
dc.contributor.author | Walter, Thomas C. | en_US |
dc.contributor.author | Wang, Chingwei | en_US |
dc.contributor.author | Kondo, Satoshi | en_US |
dc.contributor.author | Matuszewski, Bogdan J. | en_US |
dc.contributor.author | Precioso, Frédéric | en_US |
dc.contributor.author | Snell, Violet | en_US |
dc.contributor.author | Kittler, Josef | en_US |
dc.contributor.author | De Campos, Teofilo E. | en_US |
dc.contributor.author | Khan, Adnan M. | en_US |
dc.contributor.author | Rajpoot, Nasir Mahmood | en_US |
dc.contributor.author | Arkoumani, Evdokia | en_US |
dc.contributor.author | Lacle, Miangela M. | en_US |
dc.contributor.author | Viergever, Max A. | en_US |
dc.contributor.author | Pluim, Josien P W | en_US |
dc.date.accessioned | 2015-07-14T11:00:05Z | |
dc.date.available | 2015-07-14T11:00:05Z | |
dc.date.issued | 2015-02 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.description.abstract | The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers. However, mitosis counting is laborious, subjective and may suffer from low inter-observer agreement. With the wider acceptance of whole slide images in pathology labs, automatic image analysis has been proposed as a potential solution for these issues.In this paper, the results from the Assessment of Mitosis Detection Algorithms 2013 (AMIDA13) challenge are described. The challenge was based on a data set consisting of 12 training and 11 testing subjects, with more than one thousand annotated mitotic figures by multiple observers. Short descriptions and results from the evaluation of eleven methods are presented. The top performing method has an error rate that is comparable to the inter-observer agreement among pathologists. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.description.version | Author Post Print | en_US |
dc.identifier.citation | Veta, M., van Diest, P. J., Willems, S. M., Wang, H., Madabhushi, A., Cruz-Roa, A., . . . Pluim, J. P. W. (2015). Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Analysis, 20(1), 237-248. doi:10.1016/j.media.2014.11.010 | en_US |
dc.identifier.doi | 10.1016/j.media.2014.11.010 | |
dc.identifier.endpage | 248 | |
dc.identifier.issn | 1361-8415 | en_US |
dc.identifier.issn | 1361-8423 | en_US |
dc.identifier.issue | 1 | |
dc.identifier.pmid | PMID:25547073 | |
dc.identifier.pmid | 25547073 | en_US |
dc.identifier.scopus | 2-s2.0-84920921065 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.startpage | 237 | |
dc.identifier.uri | https://hdl.handle.net/11729/577 | |
dc.identifier.uri | http://dx.doi.org/10.1016/j.media.2014.11.010 | |
dc.identifier.volume | 20 | |
dc.identifier.wos | WOS:000349592000018 | en_US |
dc.identifier.wosquality | Q1 | |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Science Citation Index Expanded (SCI-EXPANDED) | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.institutionauthor | Tek, Faik Boray | en_US |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Elsevier Science BV | en_US |
dc.relation.ispartof | Medical Image Analysis | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Breast cancer | en_US |
dc.subject | Whole slide imaging | en_US |
dc.subject | Digital pathology | en_US |
dc.subject | Mitosis detection | en_US |
dc.subject | Cancer grading | en_US |
dc.subject | Counting Mitoses | en_US |
dc.subject | Sections | en_US |
dc.subject | Feasibility | en_US |
dc.title | Assessment of algorithms for mitosis detection in breast cancer histopathology images | en_US |
dc.type | Article | en_US |