A review of computational methods for cervical cells segmentation and abnormality classification
Cervical cancer is the one of the most common cancers in women worldwide, affecting
around 570,000 new patients each year. Although there have been great improvements …
around 570,000 new patients each year. Although there have been great improvements …
Unsupervised segmentation and classification of cervical cell images
The Pap smear test is a manual screening procedure that is used to detect precancerous
changes in cervical cells based on color and shape properties of their nuclei and …
changes in cervical cells based on color and shape properties of their nuclei and …
Digital imaging in cytopathology
WE Khalbuss, L Pantanowitz… - Pathology research …, 2011 - Wiley Online Library
Rapid advances are occurring in the field of cytopathology, particularly in the field of digital
imaging. Today, digital images are used in a variety of settings including education (E …
imaging. Today, digital images are used in a variety of settings including education (E …
Deep learning for cell image segmentation and ranking
Ninety years after its invention, the Pap test continues to be the most used method for the
early identification of cervical precancerous lesions. In this test, the cytopathologists look for …
early identification of cervical precancerous lesions. In this test, the cytopathologists look for …
Automatic cell nuclei segmentation and classification of cervical Pap smear images
P Wang, L Wang, Y Li, Q Song, S Lv, X Hu - Biomedical Signal Processing …, 2019 - Elsevier
Pathological examination of microscopic image of Pap smear slide remains the main
method for cervical cancer diagnosis. The accurate segmentation and classification of …
method for cervical cancer diagnosis. The accurate segmentation and classification of …
LFANet: Lightweight feature attention network for abnormal cell segmentation in cervical cytology images
Y Zhao, C Fu, S Xu, L Cao, H Ma - Computers in Biology and Medicine, 2022 - Elsevier
With the widely applied computer-aided diagnosis techniques in cervical cancer screening,
cell segmentation has become a necessary step to determine the progression of cervical …
cell segmentation has become a necessary step to determine the progression of cervical …
Semi-automatic segmentation and classification of pap smear cells
YF Chen, PC Huang, KC Lin, HH Lin… - IEEE Journal of …, 2013 - ieeexplore.ieee.org
Cytologic screening has been widely used for detecting the cervical cancers. In this study, a
semiautomatic PC-based cellular image analysis system was developed for segmenting …
semiautomatic PC-based cellular image analysis system was developed for segmenting …
Automatic segmentation of cervical nuclei based on deep learning and a conditional random field
Y Liu, P Zhang, Q Song, A Li, P Zhang, Z Gui - IEEE Access, 2018 - ieeexplore.ieee.org
Automatic and accurate cervical nucleus segmentation is important because nuclei carry
substantial diagnostic information for automatic computer-assisted cervical cancer screening …
substantial diagnostic information for automatic computer-assisted cervical cancer screening …
Segmentation of cervical cell nuclei in high-resolution microscopic images: a new algorithm and a web-based software framework
In order to automate cervical cancer screening tests, one of the most important and
longstanding challenges is the segmentation of cell nuclei in the stained specimens. Though …
longstanding challenges is the segmentation of cell nuclei in the stained specimens. Though …
A state-of-the-art survey for microorganism image segmentation methods and future potential
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of
environmental changes, and decomposition of waste materials. However, some of them are …
environmental changes, and decomposition of waste materials. However, some of them are …