A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images
Abstract Background and Objective Early diagnosis and classification of a cancer type can
help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as …
help facilitate the subsequent clinical management of the patient. Cervical cancer ranks as …
[HTML][HTML] The applications of genetic algorithms in medicine
A great wealth of information is hidden amid medical research data that in some cases
cannot be easily analyzed, if at all, using classical statistical methods. Inspired by nature …
cannot be easily analyzed, if at all, using classical statistical methods. Inspired by nature …
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Cervical cancer, one of the most common fatal cancers among women, can be prevented by
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
Cervical cancer classification using convolutional neural networks and extreme learning machines
Cervical cancer is one of the main reasons of death from cancer in women. The complication
of this cancer can be limited if it is diagnosed and treated at an early stage. In this paper, we …
of this cancer can be limited if it is diagnosed and treated at an early stage. In this paper, we …
DeepPap: deep convolutional networks for cervical cell classification
Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a
highly effective cell imaging based cancer detection tool, where cells are partitioned into …
highly effective cell imaging based cancer detection tool, where cells are partitioned into …
Accurate segmentation of cervical cytoplasm and nuclei based on multiscale convolutional network and graph partitioning
In this paper, a multiscale convolutional network (MSCN) and graph-partitioning-based
method is proposed for accurate segmentation of cervical cytoplasm and nuclei. Specifically …
method is proposed for accurate segmentation of cervical cytoplasm and nuclei. Specifically …
Cervical cancer diagnosis based on modified uniform local ternary patterns and feed forward multilayer network optimized by genetic algorithm
S Fekri-Ershad, S Ramakrishnan - Computers in Biology and Medicine, 2022 - Elsevier
Cervical cancer is one of the most common types of cancer for women. Early and accurate
diagnosis can save the patient's life. Pap smear testing is nowadays commonly used to …
diagnosis can save the patient's life. Pap smear testing is nowadays commonly used to …
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 …
Cervical cytology classification using PCA and GWO enhanced deep features selection
Cervical cancer is one of the most deadly and common diseases among women worldwide.
It is completely curable if diagnosed in an early stage, but the tedious and costly detection …
It is completely curable if diagnosed in an early stage, but the tedious and costly detection …
Segmentation and classification of cervical cells using deep learning
KHS Allehaibi, LE Nugroho, L Lazuardi… - IEEE …, 2019 - ieeexplore.ieee.org
Cervical cancer is the fourth most prevalent disease in women. Accurate and timely cancer
detection can save lives. Automatic and reliable cervical cancer detection methods can be …
detection can save lives. Automatic and reliable cervical cancer detection methods can be …