Pap smear images classification using machine learning: a literature matrix

NA Alias, WA Mustafa, MA Jamlos, H Alquran… - Diagnostics, 2022 - mdpi.com
Cervical cancer is regularly diagnosed in women all over the world. This cancer is the
seventh most frequent cancer globally and the fourth most prevalent cancer among women …

Cervical cancer diagnosis based on multi-domain features using deep learning enhanced by handcrafted descriptors

O Attallah - Applied Sciences, 2023 - mdpi.com
Cervical cancer, among the most frequent adverse cancers in women, could be avoided
through routine checks. The Pap smear check is a widespread screening methodology for …

A recent systematic review of cervical cancer diagnosis: detection and classification

WA Mustafa, NA Alias, MA Jamlos… - Journal of Advanced …, 2022 - semarakilmu.com.my
Women around the world are frequently diagnosed with cervical cancer. In the beginning,
there were no symptoms for the fourth most common cause of fatality in women. Cells of …

Improving prediction of cervical cancer using knn imputed smote features and multi-model ensemble learning approach

H Karamti, R Alharthi, AA Anizi, RM Alhebshi… - Cancers, 2023 - mdpi.com
Simple Summary This paper presents a cervical cancer detection approach where the KNN
Imputer techniques is used to fill the missing values and after that SMOTE upsampled …

Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction

RM Munshi - PLoS One, 2024 - journals.plos.org
Cervical cancer remains a leading cause of female mortality, particularly in developing
regions, underscoring the critical need for early detection and intervention guided by skilled …

[HTML][HTML] Classification of COVID-19 X-ray images using transfer learning with visual geometrical groups and novel sequential convolutional neural networks

S Kumar, H Kumar - MethodsX, 2023 - Elsevier
COVID-19 is a highly transmissible infectious disease that remains a substantial challenge.
The utilization of chest radiology, particularly X-ray imaging, has proven to be highly …

Detection of cervix tumor using an intelligent system accompanied with PNN classification approach

K Vijila Rani, M Eugine Prince… - Signal, Image and Video …, 2023 - Springer
In the medical field, image analysis is used to identify tumors. Image segmentation is a
critical aspect of image processing. Pap-smear imaging techniques are one of the tools to …

Improvement method for cervical cancer detection: A comparative analysis

NA Alias, WA Mustafa, MA Jamlos… - Oncology …, 2022 - pmc.ncbi.nlm.nih.gov
Cervical cancer is a prevalent and deadly cancer that affects women all over the world. It
affects about 0.5 million women anually and results in over 0.3 million fatalities. Diagnosis of …

[PDF][PDF] Metal Corrosion Rate Prediction of Small Samples Using an Ensemble Technique.

Y Yang, P Zheng, F Zeng, P Xin, G He… - … -Computer Modeling in …, 2023 - cdn.techscience.cn
Accurate prediction of the internal corrosion rates of oil and gas pipelines could be an
effective way to prevent pipeline leaks. In this study, a proposed framework for predicting …

Comparison of deep transfer learning models for classification of cervical cancer from pap smear images

H Kaur, R Sharma, J Kaur - Scientific Reports, 2025 - nature.com
Cervical cancer is one of the most commonly diagnosed cancers worldwide, and it is
particularly prevalent among women living in developing countries. Traditional classification …