Diagnosis of cervical cancer and pre-cancerous lesions by artificial intelligence: a systematic review
L Allahqoli, AS Laganà, A Mazidimoradi, H Salehiniya… - Diagnostics, 2022 - mdpi.com
Objective: The likelihood of timely treatment for cervical cancer increases with timely
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …
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 …
Imputer techniques is used to fill the missing values and after that SMOTE upsampled …
Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction
Gynaecological cancers encompass a spectrum of malignancies affecting the female
reproductive system, comprising the cervix, uterus, ovaries, vulva, vagina, and fallopian …
reproductive system, comprising the cervix, uterus, ovaries, vulva, vagina, and fallopian …
[PDF][PDF] Early prediction of cervical cancer using machine learning techniques
According to recent studies and statistics, Cervical Cancer (CC) is one of the most common
causes of death worldwide and mainly in the developing countries. CC has a mortality rate …
causes of death worldwide and mainly in the developing countries. CC has a mortality rate …
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 …
regions, underscoring the critical need for early detection and intervention guided by skilled …
[HTML][HTML] Identifying cancer cachexia in patients without weight loss information: machine learning approaches to address a real-world challenge
L Yin, J Cui, X Lin, N Li, Y Fan, L Zhang, J Liu… - The American Journal of …, 2022 - Elsevier
Background Diagnosing cancer cachexia relies extensively on patient-reported historic
weight, and failure to accurately recall this information can lead to severe underestimation of …
weight, and failure to accurately recall this information can lead to severe underestimation of …
Analysis of WSI images by hybrid systems with fusion features for early diagnosis of cervical cancer
Cervical cancer is one of the most common types of malignant tumors in women. In addition,
it causes death in the latter stages. Squamous cell carcinoma is the most common and …
it causes death in the latter stages. Squamous cell carcinoma is the most common and …
Cervical cancer diagnosis using stacked ensemble model and optimized feature selection: An explainable artificial intelligence approach
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 …
over 300,000 deaths. The main goals of this paper are to study the effect of applying feature …
Improving prediction of cervical cancer using KNN imputer and multi-model ensemble learning
T Aljrees - Plos one, 2024 - journals.plos.org
Cervical cancer is a leading cause of women's mortality, emphasizing the need for early
diagnosis and effective treatment. In line with the imperative of early intervention, the …
diagnosis and effective treatment. In line with the imperative of early intervention, the …
Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy
H Chen, K Mei, Y Zhou, N Wang, G Cai - IEEE Access, 2023 - ieeexplore.ieee.org
Breast cancer has replaced lung cancer as the number one cancer among women
worldwide. In this paper, we take breast cancer as the research object, and pioneer a hybrid …
worldwide. In this paper, we take breast cancer as the research object, and pioneer a hybrid …