In automated screening of cervical cytology, the morphological features of cell play a
determining role. To avoid false diagnosis, urgent need of precise extraction of these …

In cervical cancer screening, accurate segmentation of cervical nucleus is a key part in the
early diagnosis of cervical cancer. However, the cervical nucleus segmentation faces many …

The precise location of cancerous cells in thousands of cervical squamous epithelial cells
can effectively reduce the workload of doctors and improve the accuracy of cervical cancer …

At present, Cervical cancer is the second most common cancer among women around the
world. This cancer develops in the cervix; which is the entrance to the uterus. Most of the …

Disclosed, among other things, is a computer device and computer-implemented method of
classifying cells within an image of a tissue sample comprising providing the image of the …

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 …

Cervical cancer must be detected at an earlier stage since the late diagnosis reduces the
probability of survival among the women population of the world. In this paper, improved …

This work presents a proposal for an efficient classification of cervical cells based on non-
geometric characteristics extracted from nuclear regions of interested. This approach is …

Cervical cancer is one of the most common cancers among women in the world, over
570,000 patients are affected annually. Pathological examination for patients using Pap …

This paper presents an utilization of data clustering with genetic algorithm (GA) approach.
Proposed meta-heuristic clustering approach relies on genetic operators and accepts …