NCA‐based hybrid convolutional neural network model for classification of cervical cancer on gauss‐enhanced pap‐smear images

H Bingol - International Journal of Imaging Systems and …, 2022 - Wiley Online Library
Cervical cancer is a very serious disease that deeply affects women's lives, often resulting in
death. This type of cancer, which is very common in women, is diagnosed at an early stage …

Cervical lesion image enhancement based on conditional entropy generative adversarial network framework

J Fan, J Liu, S Xie, C Zhou, Y Wu - Methods, 2022 - Elsevier
Early screening and diagnosis of cervical precancerous lesions are very important to
prevent cervical cancer. High-quality colposcopy images will help doctors make faster and …

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 …

[HTML][HTML] Improving computer-aided cervical cells classification using transfer learning based snapshot ensemble

W Chen, X Li, L Gao, W Shen - Applied Sciences, 2020 - mdpi.com
Cervical cells classification is a crucial component of computer-aided cervical cancer
detection. Fine-grained classification is of great clinical importance when guiding clinical …

Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique

J Martinez-Mas, A Bueno-Crespo… - Expert Systems with …, 2020 - Elsevier
Early detection of cancer is important to improve survival and reduce associated morbility.
Nowadays, there is no automatic classification process with enough accuracy to be …

Cervical image classification based on image segmentation preprocessing and a CapsNet network model

XQ Zhang, SG Zhao - International Journal of Imaging Systems …, 2019 - Wiley Online Library
Cervical cancer is one of the most common gynecological malignancies, and when detected
and treated at an early stage, the cure rate is almost 100%. Colposcopy can be used to …

[HTML][HTML] Cervical cell segmentation method based on global dependency and local attention

G Li, C Sun, C Xu, Y Zheng, K Wang - Applied Sciences, 2022 - mdpi.com
The refined segmentation of nuclei and the cytoplasm is the most challenging task in the
automation of cervical cell screening. The U-Shape network structure has demonstrated …

[HTML][HTML] Cervical cancer detection in pap smear whole slide images using convnet with transfer learning and progressive resizing

AR Bhatt, A Ganatra, K Kotecha - PeerJ Computer Science, 2021 - peerj.com
Cervical intraepithelial neoplasia (CIN) and cervical cancer are major health problems faced
by women worldwide. The conventional Papanicolaou (Pap) smear analysis is an effective …

An improved ensemble deep belief model (EDBM) for pap-smear cell image classification

M Benhari, R Hossseini - Multimedia Tools and Applications, 2024 - Springer
Applications of deep learning models for medical image analysis have been concentrated in
recent years. This study presents an improved automatic Deep Learning Ensemble model to …

[HTML][HTML] Cervical cell/clumps detection in cytology images using transfer learning

C Xu, M Li, G Li, Y Zhang, C Sun, N Bai - Diagnostics, 2022 - mdpi.com
Cervical cancer is one of the most common and deadliest cancers among women and poses
a serious health risk. Automated screening and diagnosis of cervical cancer will help …