Cervix type and cervical cancer classification system using deep learning techniques

LW Habtemariam, ET Zewde… - Medical devices: evidence …, 2022 - Taylor & Francis
Purpose Cervical cancer is the 4th most common cancer among women, worldwide.
Incidence and mortality rates are consistently increasing, especially in developing countries …

Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images

YR Park, YJ Kim, W Ju, K Nam, S Kim, KG Kim - Scientific Reports, 2021 - nature.com
Cervical cancer is the second most common cancer in women worldwide with a mortality
rate of 60%. Cervical cancer begins with no overt signs and has a long latent period, making …

Cervix image classification for prognosis of cervical cancer using deep neural network with transfer learning

S Dhawan, K Singh, M Arora - EAI Endorsed Transactions on Pervasive …, 2021 - eudl.eu
INTRODUCTION: Cervical cancer is the leading cancer among the other female cancers. It
develops in the cervix of women. It takes decades in development thus can be preventable if …

Cervical cancer classification from pap smear images using deep convolutional neural network models

SL Tan, G Selvachandran, W Ding… - Interdisciplinary …, 2024 - Springer
As one of the most common female cancers, cervical cancer often develops years after a
prolonged and reversible pre-cancerous stage. Traditional classification algorithms used for …

Convolutional neural networks for classifying cervical cancer types using histological images

Y Li, F Chen, J Shi, Y Huang, M Wang - Journal of Digital Imaging, 2023 - Springer
Cervical cancer is the most common cancer among women worldwide. The diagnosis and
classification of cancer are extremely important, as it influences the optimal treatment and …

ColpoNet for automated cervical cancer screening using colposcopy images

SK Saini, V Bansal, R Kaur, M Juneja - Machine Vision and Applications, 2020 - Springer
Cervical cancer is one among the trivial forms of cancer that counts for 6.6% of all females
cancers with an estimated 570,000 new cases in 2018. The mortality rate due to cervical …

Deep learning-based approaches for robust classification of cervical cancer

I Pacal, S Kılıcarslan - Neural Computing and Applications, 2023 - Springer
Cervical cancer is the fourth most common cancer worldwide, and early diagnosis is crucial
for successful treatment, as with all types of cancer. The pap-smear test is considered the …

Diagnosis of cervical cancer based on ensemble deep learning network using colposcopy images

V Chandran, MG Sumithra, A Karthick… - BioMed Research …, 2021 - Wiley Online Library
Traditional screening of cervical cancer type classification majorly depends on the
pathologist's experience, which also has less accuracy. Colposcopy is a critical component …

The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images

C Yuan, Y Yao, B Cheng, Y Cheng, Y Li, Y Li, X Liu… - Scientific reports, 2020 - nature.com
Background Deep learning has presented considerable potential and is gaining more
importance in computer assisted diagnosis. As the gold standard for pathologically …

[HTML][HTML] Computer-aided diagnostic system based on deep learning for classifying colposcopy images

L Liu, Y Wang, X Liu, S Han, L Jia, L Meng… - Annals of …, 2021 - ncbi.nlm.nih.gov
Background Colposcopy is widely used to detect cervical cancer, but developing countries
lack the experienced colposcopists necessary for accurate diagnosis. Artificial intelligence …