Owing to the uncertainties of manual screening, automated diagnostic tools can aid in
improving the reliability of cervical cancer diagnosis. Due to pre-cancerous changes, cell …

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 …

Screening plays an important role within the fight against cervical cancer. One of the most
challenging parts in order to automate the screening process is the segmentation of nuclei in …

Early detection of cervical cancer can help patients obtain the best treatment through various
means. In general, computer-aided diagnosis has a high impact on the accuracy, reliability …

In medical image segmentation, preparing ground truths (or masks) is not trivial as it
requires expert clinicians to manually label regions-of-interest. Cervical cytology image …

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

Uterine cervical cancer is the second most common cancer among women, with around half
a million cases reported every year. The Papanicolaou technique provides an inexpensive …

Fast and reliable segmentation of cervical cell nuclei is one of the crucial steps of an
automated screening system that aims early detection of cervical cancer. In this paper, we …

Cervical cancer is identified as the fourth most recurrent cancer among women across the
globe. The cancer is treatable, if identified at the early stage. Pap smear test is the most …

Segmentation of cell nuclei in PAP-smear cervical images is of preeminent importance in
computer-aided-diagnostic screening technique for cervical cancer. This paper proposes a …