Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.

Objective: Automated Pap smear cervical screening is one of the most effective imaging based cancer detection
tools used for categorizing cervical cell images as normal and abnormal. Traditional classification methods depend on
hand-engineered features and show limitations in large, diverse datasets. Effective feature extraction requires an efficient
image preprocessing and segmentation, which remains prominent challenge in the field of Pathology.