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 …
diagnosis of a broad range of pathologies. Cells are harvested from tissues by aspiration or …
Cytology image analysis techniques toward automation: Systematically revisited
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 …
diagnosis of carcinoma or inflammatory conditions. In the present work, the term cytology is …
Review of cervical cell segmentation
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 …
for screening various cervical diseases. In recent years, substantial progress has been …
A contour property based approach to segment nuclei in cervical cytology images
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 …
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
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 …
cytology. Automated delineation of the cervical nucleus has notorious challenges due to …
Local label point correction for edge detection of overlapping cervical cells
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 …
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
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 …
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 …
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 …
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 …
screening detection can save lives. However, the large-scale manual screening is limited by …