What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review

AV Matias, JGA Amorim, LAB Macarini… - … Medical Imaging and …, 2021 - Elsevier
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 …

Cytology image analysis techniques toward automation: Systematically revisited

S Mitra, N Das, S Dey, S Chakraborty… - ACM Computing …, 2021 - dl.acm.org
Cytology is a branch of pathology that deals with the microscopic examination of cells for
diagnosis of carcinoma or inflammatory conditions. In the present work, the term cytology is …

Review of cervical cell segmentation

Q Huang, W Zhang, Y Chen, J Chen, Z Yang - Multimedia Tools and …, 2024 - Springer
Cervical cell segmentation is a significant task in medical image analysis and can be used
for screening various cervical diseases. In recent years, substantial progress has been …

A contour property based approach to segment nuclei in cervical cytology images

IT Hoque, N Ibtehaz, S Chakravarty, MS Rahman… - BMC Medical …, 2021 - Springer
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 …

Cervical cell's nucleus segmentation through an improved UNet architecture

A Rasheed, SH Shirazi, AI Umar, M Shahzad… - Plos one, 2023 - journals.plos.org
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 …

Local label point correction for edge detection of overlapping cervical cells

J Liu, H Fan, Q Wang, W Li, Y Tang, D Wang… - Frontiers in …, 2022 - frontiersin.org
Accurate labeling is essential for supervised deep learning methods. However, it is almost
impossible to accurately and manually annotate thousands of images, which results in many …

Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT

M Howes, M Bajger, G Lee, F Bucci… - 2021 Digital Image …, 2021 - ieeexplore.ieee.org
Statistical Region Merging technique belongs to the portfolio of very successful image
segmentation methods across diverse domains and applications. The method is based on a …

A Systematic Study of Challenges in Cervical Cytology Image Segmentation of Intelligence based Cervical Cancer Screening

PM Anu, C Lakshmi - 2023 4th IEEE Global Conference for …, 2023 - ieeexplore.ieee.org
Cervical Cancer (CC) is the fourth frequent dreadful cancers that prevails in women across
the globe. Cervical cytology is being adopted as the standard technique for the screening of …

Nucleus region detection of cervical cytology using image channel conversion techniques

H Alquran, A Badarneh, M Alsalatie… - AIP Conference …, 2024 - pubs.aip.org
Cervical cancer is a form of cancer that develops in the cells of the cervix, which links the
uterus to the vagina. Cervical cancer can often be prevented by attending the cervical …

Automated Pap Smear Cervical Cancer Detection Based on Multiscale Convolutional Neural Network

M Xia, G Zhang, B Guan - 2022 IEEE 11th Data Driven Control …, 2022 - ieeexplore.ieee.org
Cervical cancer is one deadly common gynecological malignant tumor, early accurate
screening detection can save lives. However, the large-scale manual screening is limited by …