Neural network assisted algorithm for automated detection of breast cancer nuclei

Tsapatsoulis, Nicolas; Schnorrenberg, Frank; Pattichis, Costas; Kollias, Stefanos; Schizas, Christos

dc.contributor.author	Tsapatsoulis, Nicolas	en
dc.contributor.author	Schnorrenberg, Frank	en
dc.contributor.author	Pattichis, Costas	en
dc.contributor.author	Kollias, Stefanos	en
dc.contributor.author	Schizas, Christos	en
dc.date.accessioned	2014-03-01T02:41:18Z
dc.date.available	2014-03-01T02:41:18Z
dc.date.issued	1997	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30448
dc.subject	Integrable System	en
dc.subject	Receptive Field	en
dc.subject	Breast Cancer	en
dc.subject	Neural Network	en
dc.subject.other	Algorithms	en
dc.subject.other	Formal logic	en
dc.subject.other	Medical imaging	en
dc.subject.other	Neural networks	en
dc.subject.other	Oncogenic viruses	en
dc.subject.other	Breast biopsy specimens	en
dc.subject.other	Breast cancer nuclei	en
dc.subject.other	Receptive field squashing function (RFS) algorithms	en
dc.subject.other	Object recognition	en
dc.title	Neural network assisted algorithm for automated detection of breast cancer nuclei	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICDSP.1997.628058	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICDSP.1997.628058	en
heal.publicationDate	1997	en
heal.abstract	A neural network assisted algorithm used for the detection of nuclei in biopsy images is presented in this paper. This algorithm is combined in a logical AND form with an algorithm based on receptive fields to build the nuclei detection part of an integrated system used for automated assessing of histological slides of breast biopsy specimens.	en
heal.publisher	IEEE, Piscataway, NJ, United States	en
heal.journalName	International Conference on Digital Signal Processing, DSP	en
dc.identifier.doi	10.1109/ICDSP.1997.628058	en
dc.identifier.volume	1	en
dc.identifier.spage	269	en
dc.identifier.epage	272	en