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 …
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
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 …
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
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 …
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 …
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 …
classification of cancer are extremely important, as it influences the optimal treatment and …
ColpoNet for automated cervical cancer screening using colposcopy images
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 …
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 …
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 …
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 …
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 …
lack the experienced colposcopists necessary for accurate diagnosis. Artificial intelligence …