Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi Archives of Clinical Pathology
Wasswa William Author
Subjects of specialization
Affiliation
Machine Learning, , Medical Imaging, , Segmentation
Department of Biomedical Sciences and Engineering, Mbarara University of Science and Technology, Uganda
Biography
Department of Biomedical Sciences and Engineering, Mbarara University of Science and Technology, Uganda
Publications
Short Communication Open Access
Automated segmentation of nucleus, cytoplasm, and background of pap-smear images using a trainable pixel level classifier
Author(s): Wasswa William
Cervical most cancers ranks because the fourth maximum familiar cancer affecting ladies worldwide and its early detection offers the possibility to assist save a life. Automated prognosis and class of cervical cancer from pap-smear pics has turn out to be a necessity as it enables accurate, dependable and timely analysis of the condition’s progress. Segmentation is a fundamental component of enabling a success computerized pap-smear photo evaluation. In this paper, a potent set of rules for segmentation of the pap-smear image into the nucleus, cytoplasm, and heritage the use of pixel level statistics is proposed.
... view more»Google Scholars / Researchers Sites
