The automated interpretation of Pap smear images is a challenging issue with several
aspects. The accurate segmentation of the structuring elements of each cell is a crucial …

Digital image analysis of cell nuclei is useful to obtain quantitative information for the
diagnosis and prognosis of cancer. However, the lack of a reliable automatic nuclear …

In this paper, a newapproach is proposed for the early detection of cervical cancer using
Papsmear images. Regular Papsmear screening is the most successful attempt of medical …

Accurate image segmentation of cells and tissues is a challenging research area due to its
vast applications in medical diagnosis. Seed detection is the basic and most essential step …

The morphology of the cervical cell nucleus is the most important consideration for
pathological cell identification. And a precise segmentation of the cervical cell nucleus …

Precise segmentation of the nucleus is vital for computer-aided diagnosis (CAD) in cervical
cytology. Automated delineation of the cervical nucleus has notorious challenges due to …

The automated diagnosis of cervical cancer in Pap smear images is a difficult though
extremely important procedure. In order to obtain reliable diagnostic information, the nuclei …

Cervical cancer ranks as the fourth most prevalent form of cancer affecting women
worldwide and its early detection provides the opportunity to help save life. Automated …

As macroscopic Breast Cancer (BC) imaging diagnostics do not provide satisfied data,
microscopic image analysis is used to get optimum cell-nuclei segmentation for image …

Cancer or carcinoma is the uncontrolled growth of cells. There are many types of cancers.
Here we are focusing on one of the common cancer of females ie cancer of the cervix. Ca …