Computer Aided Screening of Cervical Cancer Using Random Forest Classifier.

摘要

ABSTRACT Cervical cancer is a pathological disorder of the human that affects around 50 million people worldwide. The early detection and diagnosis of cervical cancer is important for the women to prevent it in an earlier stage. Conventional approaches used abnormal lesion size and shape to detect the cancer area, which provides low accuracy for surgery. In this paper, computer aided automatic cervical cancer detection methodology is proposed to overcome the limitations of the conventional meth.