Machine learning for assisting cervical cancer diagnosis: An ensemble approach

J Lu, E Song, A Ghoneim, M Alrashoud - Future Generation Computer …, 2020 - Elsevier
Cervical cancer remains one of the most prevalent gynecologic malignancies, worldwide. As
cervical cancer is a highly preventable disease, therefore, early screening represents the …

[HTML][HTML] A machine learning method for classification of cervical cancer

JJ Tanimu, M Hamada, M Hassan, H Kakudi… - Electronics, 2022 - mdpi.com
Cervical cancer is one of the leading causes of premature mortality among women
worldwide and more than 85% of these deaths are in developing countries. There are …

Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification

K Adem, S Kiliçarslan, O Cömert - Expert Systems with Applications, 2019 - Elsevier
Cervical cancer is one of the most common cancer types in the world, which causes many
people to lose their lives. Cancer research is of importance since early diagnosis of cancer …

Computational prediction of cervical cancer diagnosis using ensemble-based classification algorithm

S Gupta, MK Gupta - The Computer Journal, 2022 - academic.oup.com
Cervical cancer is one of the most common cancers among women in the world. As at the
earlier stage, cervical cancer has fewer symptoms. Cancer research is vital as the prognosis …

[HTML][HTML] Supervised algorithms of machine learning for the prediction of cervical cancer

F Asadi, C Salehnasab, L Ajori - Journal of biomedical physics & …, 2020 - ncbi.nlm.nih.gov
Background: Compared to other genital cancers, cervical cancer is the most prevalent and
the main cause of mortality in females in third-world countries, affected by different factors …

Imaging based cervical cancer diagnostics using small object detection-generative adversarial networks

R Elakkiya, KSS Teja, L Jegatha Deborah… - Multimedia Tools and …, 2022 - Springer
Cervical cancer is one of the curable cancers when it is diagnosed in the early stages. Pap
smear test and visual inspection using acetic acid are the most common screening …

A comprehensive data‐level investigation of cancer diagnosis on imbalanced data

S Gupta, MK Gupta - Computational Intelligence, 2022 - Wiley Online Library
Cancer is one of the leading causes of death in the world. Cancer research is vital as the
prognosis of cancer enables clinical applications for patients. In this study, we have …

[HTML][HTML] Classification of imbalanced oral cancer image data from high-risk population

B Song, S Li, S Sunny, K Gurushanth… - … of biomedical optics, 2021 - spiedigitallibrary.org
Significance: Early detection of oral cancer is vital for high-risk patients, and machine
learning-based automatic classification is ideal for disease screening. However, current …

A cluster-based intelligence ensemble learning method for classification problems

S Cui, Y Wang, Y Yin, TCE Cheng, D Wang, M Zhai - Information Sciences, 2021 - Elsevier
Classification is a vital task in machine learning. By learning patterns of samples of known
categories, the model can develop the ability to distinguish the categories of samples of …

[HTML][HTML] 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 …