Automated Detection and Quantification of Erythrocytes

dc.contributor.author	Basit Ismail, 01-134141-024
dc.contributor.author	Khizar Khan, 01-134141-080
dc.date.accessioned	2018-05-10T13:17:15Z
dc.date.available	2018-05-10T13:17:15Z
dc.date.issued	2017
dc.identifier.uri	http://hdl.handle.net/123456789/6252
dc.description	Supervised by Ms. Momina Moetesum	en_US
dc.description.abstract	One of the problem of medical domain which is of paramount importance is the detection of anomalies related to blood cells. The Red Blood Cell (RBC) count is a sub domain of this problem. Commonly employed methods rely on using Hemotcytometer and automated analyser for this purpose. An automated quantifier for RBC from digitized blood smear images is presented in this study using a modied approach which uses Circular Hough Transform for the detection of the RBCs. The detection algorithm has been applied effectively on a dataset of Giesma-Stain blood smear images.	en_US
dc.language.iso	en	en_US
dc.publisher	Bahria University Islamabad Campus	en_US
dc.relation.ispartofseries	BS (CS);P-6386
dc.subject	Computer Sciences.	en_US
dc.title	Automated Detection and Quantification of Erythrocytes	en_US
dc.type	Project Reports	en_US