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 …

Precise segmentation of Pap smear cell nucleus is crucial for early diagnosis of cervical
cancer. This task is particularly challenging because of cell overlapping, inconsistent …

Cervical cancer can be prevented only at early stage. Regular pap-smear tests generally
recommended by doctors for cervical cancer detection can be more costly for people of …

Overlapping cell segmentation is a prerequisite for the analysis of cervical smear images.
Because of the complexity of overlapping situations and the poor contrast of overlapping …

Accurate segmentation of cervical cells in Pap smear images is an important task for
automatic identification of pre-cancerous changes in the uterine cervix. One of the major …

The poor contrast and the overlapping of cervical cell cytoplasm are the major issues in the
accurate segmentation of cervical cell cytoplasm. This paper presents an automated …

Segmentation of cervical cells in microscopic images is an important task for computer-aided
diagnosis of cervical cancer. However, their segmentation is challenging due to …

Accurate and automatic detection and delineation of cervical cells are two critical precursor
steps to automatic Pap smear image analysis and detecting pre-cancerous changes in the …

Accurate segmentation of cervical cells in Pap smear images is an important step in
automatic pre-cancer identification in the uterine cervix. One of the major segmentation …

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 …