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Author/Affiliation: Bamidele Sanya OsalusiOpen AccessArticle
6 Pages, 810 KB 
Textural Analysis of Pap Smears Images for k-NN and SVM Based Cervical Cancer Classification System
Abstract:
Early detection and treatment of cervical cancer is crucial to patients’ recovery with a reported success rate of nearly 100%. Presently, Pap smear test which is a visual inspection of cells collected from the ectocervix is the screening tool mainly used in cancer prevention programs. The Pap smear is relatively easy to handle however, it…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))