Automated detection and classification of cervical cancer using pap smear microscopic images: a comprehensive review and future perspectives

PB Shanthi, KS Hareesha, R Kudva - Engineered Science, 2022 - espublisher.com
Computer aided categorization of smear images are considered as an open problem for a
last few decades. Cervical cancer is the main cause of mortality among women population …

BiLSTM deep neural network model for imbalanced medical data of IoT systems

M Woźniak, M Wieczorek, J Siłka - Future Generation Computer Systems, 2023 - Elsevier
Health informatics is one of the most developed field in recent time. Computational
Intelligence is among the most influential factors that may help to improve patient oriented …

Applications of dynamic feature selection and clustering methods to medical diagnosis

MM Ershadi, A Seifi - Applied Soft Computing, 2022 - Elsevier
Abstract Machine learning methods are commonly used for disease and cancer diagnosis.
The model performance can be improved via feature selection, feature reduction, and …

Cervical cancer diagnosis using stacked ensemble model and optimized feature selection: An explainable artificial intelligence approach

A AlMohimeed, H Saleh, S Mostafa, RMA Saad… - Computers, 2023 - mdpi.com
Cervical cancer affects more than half a million women worldwide each year and causes
over 300,000 deaths. The main goals of this paper are to study the effect of applying feature …

[PDF][PDF] A multi-stage approach combining feature selection with machine learning techniques for higher prediction reliability and accuracy in cervical cancer diagnosis

AK Chaudhuri, A Ray, DK Banerjee… - International Journal of …, 2021 - academia.edu
Cervical cancer is the fourth most prevalent cancer in women which has claimed 3, 41,831
lives and accounted for 6, 04,127 new cases in 2020 worldwide. To reduce such a vast …

Potent multi-target natural inhibitors against SARS-CoV-2 from medicinal plants of the Himalaya: a discovery from hybrid machine learning, chemoinformatics, and …

P Maiti, M Nand, S Mathpal, S Wahab… - Journal of …, 2023 - Taylor & Francis
The emergence and immune evasion ability of SARS-CoV-2 Omicron strains, mainly BA. 5.2
and BF. 7 and other variants of concern have raised global apprehensions. With this context …

Performance evaluation of classification algorithms for early detection of behavior determinant based cervical cancer

K Alpan - 2021 5th international symposium on …, 2021 - ieeexplore.ieee.org
Cervical cancers are very common and dangerous woman cancer which is caused from
human papillomavirus. Transmission of this virus is happening during sexual intercourse …

Cervical cancer prediction using stacked ensemble algorithm with SMOTE and RFERF

CH Bhavani, A Govardhan - Materials Today: Proceedings, 2023 - Elsevier
With the tremendous advancement in machine learning and deep learning, organizations
are using numerous algorithms for analyzing the huge amount of data to come up with …

Empirical Analysis with Component Decomposition Methods for Cervical Cancer Risk Assessment

MM Rahman, ASMM Islam, J Miah… - 2023 IEEE World AI …, 2023 - ieeexplore.ieee.org
Cervical cancer is one of the most common female diseases. This happens when a woman's
cervix changes. To make matters worse, these cancer cells have the potential to spread to …

Comparison of performance of machine learning algorithms for cervical cancer classification

H Karani, A Gangurde, G Dhumal… - … on Advances in …, 2022 - ieeexplore.ieee.org
Cervical cancer, which is the fourth leading cause of mortality among women, displays no
symptoms in its early stages. Cervical cancer is currently diagnosed using only a few …