Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction

S Gandotra, Y Kumar, N Modi, J Choi, J Shafi… - Artificial Intelligence …, 2024 - Springer
Gynaecological cancers encompass a spectrum of malignancies affecting the female
reproductive system, comprising the cervix, uterus, ovaries, vulva, vagina, and fallopian …

[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 …

Cervical optical coherence tomography image classification based on contrastive self‐supervised texture learning

K Chen, Q Wang, Y Ma - Medical Physics, 2022 - Wiley Online Library
Background Cervical cancer (CC) seriously affects the health of the female reproductive
system. Optical coherence tomography (OCT) emerged as a noninvasive, high‐resolution …

Distilling OCT cervical dataset with evidential uncertainty proxy

Y Xiong, Y Xu, Y Zhang, B Du - Image and Vision Computing, 2024 - Elsevier
Deep learning-based OCT image classification method is of paramount importance for early
screening of cervical cancer. For the sake of efficiency and privacy, the emerging data …

[HTML][HTML] Artificial neural networks (ANNs) for modeling efficient factors in predicting pap smear screening behavior change stage

E Allahyari, M Moodi, Z Tahergorabi - BioMedicine, 2022 - ncbi.nlm.nih.gov
Materials and methods Data were collected from a descriptive-analytical cross-sectional
study. This research was conducted on 1898 female employees of governmental agencies …

Uncertainty-aware Condensation for OCT Cervical Dataset Combining Coreset Selection and Distillation

Y Xiong, Y Xu, Y Zhang, K Gui… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Optical Coherence Tomography (OCT) cervical images offer a sensitive and non-invasive
solution for screening cervical cancer. Currently, utilizing deep learning techniques to …

Multiclass Classification of Cervical Pap Smear Images Using Deep Learning-Based Model.

KP Battula, BS Chandana - Traitement du Signal, 2023 - search.ebscohost.com
One of the primary reasons for women's deaths is cervical cancer. The most important
procedures that are to be performed to ensure the reduction of cervical cancer's side effects …

Enhancing Prediction Precision and Reliability in Cervical, Lung, and Breast Cancer Diagnosis

S Ghosh, A Dutta, S Ghosh… - Driving Smart Medical …, 2024 - igi-global.com
This study covers a wide range of cancers, focusing on cervical, lung, and breast cancer.
Developing fast, accurate, and interpretable machine learning models for early diagnosis is …

Detection and classification of cervical cancer using deep learning techniques

K Rao, MP Nanda, M Suchithra - AIP Conference Proceedings, 2024 - pubs.aip.org
Cancer is a disease that plagues several people all over the world and is in most cases a
terminal condition. Of the different types of cancer that exist such as Bladder, Colorectal …

A Comparative Review: Detection and Classification of Cervical Cancer from Pap-Smear Images

KP Battula, SC Bolem… - … Conference on Automation …, 2022 - ieeexplore.ieee.org
Cervical cancer (CC) is the fourth most frequent cause of death in women. In the past
century, cervical cancer incidence and mortality were significantly decreased because of …