Cancer is one of the most deadly diseases diagnosed among the population across the
globe so far. The number of cases is increasing at a high pace each year that subsequently …

Background Cervical cancer progresses slowly, increasing the chance of early detection of
pre‐neoplastic lesions via Pap exam test and subsequently preventing deaths. However, the …

The cervical cancer patient's death rate can be minimized by accurate and early detection of
cervical cancer (CC). One of the popular techniques called the Pap test or Pap smear is …

In the screening of cervical cancer cells, accurate identification and segmentation of nucleus
in cell images is a key part in the early diagnosis of cervical cancer. Overlapping, uneven …

Analyzing Pap cytology slides is an important tasks in detecting and grading precancerous
and cancerous cervical cancer stages. Processing cytology images usually involve …

Cytology is a low-cost and non-invasive diagnostic procedure employed to support the
diagnosis of a broad range of pathologies. Cells are harvested from tissues by aspiration or …

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 …

Applications of deep learning models for medical image analysis have been concentrated in
recent years. This study presents an improved automatic Deep Learning Ensemble model to …

Background Segmentation of nuclei in cervical cytology pap smear images is a crucial stage
in automated cervical cancer screening. The task itself is challenging due to the presence of …

Pap smear testing is crucial for early diagnosis of cervical cancer, but cell overlapping poses
a significant challenge to diagnostic accuracy, as improper processing of overlapping cells …