Pathological examination of microscopic image of Pap smear slide remains the main
method for cervical cancer diagnosis. The accurate segmentation and classification of …

Cervical cancer is one of the leading causes of cancer death in females worldwide. The
disease can be cured if the patient is diagnosed in the pre-cancerous lesion stage or earlier …

The Pap smear test is a manual screening procedure that is used to detect precancerous
changes in cervical cells based on color and shape properties of their nuclei and …

Cytologic screening has been widely used for detecting the cervical cancers. In this study, a
semiautomatic PC-based cellular image analysis system was developed for segmenting …

This paper is concern about segmentation on pap smear images to use for classification
cervical cancer. A cervical cancer screening by recognizing the cell shape pattern on the …

Background and objectives The present study proposes an intelligent system for automatic
categorization of Pap smear images to detect cervical dysplasia, which has been an open …

Pap smear is a screening methodology for cervix cancer detection and diagnosis. The Pap
smear images of cervical region are used to detect the abnormality of the cervical cells. In …

In this work, we present an automated method for the detection and boundary determination
of cells nuclei in conventional Pap stained cervical smear images. The detection of the …

In previous studies, conventional seed based region growing (SBRG) has successfully been
used to detect the edges of certain regions of interest on digital images. The SBRG algorithm …

Accurate nuclei segmentation, as an indispensable basis and core link for multi-cell cervical
image analysis, plays an important role in automatic pre-cancer detection. However, poor …