Deep learning for computational cytology: A survey
Computational cytology is a critical, rapid-developing, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …
image computing concerned with analyzing digitized cytology images by computer-aided …
[HTML][HTML] A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis
P Jiang, X Li, H Shen, Y Chen, L Wang, H Chen… - Artificial Intelligence …, 2023 - Springer
Cervical cancer is one of the most common cancers in daily life. Early detection and
diagnosis can effectively help facilitate subsequent clinical treatment and management. With …
diagnosis can effectively help facilitate subsequent clinical treatment and management. With …
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron
W Liu, C Li, N Xu, T Jiang, MM Rahaman, H Sun… - Pattern Recognition, 2022 - Elsevier
Cervical cancer is the seventh most common cancer among all the cancers worldwide and
the fourth most common cancer among women. Cervical cytopathology image classification …
the fourth most common cancer among women. Cervical cytopathology image classification …
Exemplar pyramid deep feature extraction based cervical cancer image classification model using pap-smear images
Cervical cancer is a common type of cancer in women worldwide. Detection of this type of
cancer in the early stages is very important for the treatment process. Early …
cancer in the early stages is very important for the treatment process. Early …
[HTML][HTML] Detection of cervical cancer cells in whole slide images using deformable and global context aware faster RCNN-FPN
X Li, Z Xu, X Shen, Y Zhou, B Xiao, TQ Li - Current Oncology, 2021 - mdpi.com
Cervical cancer is a worldwide public health problem with a high rate of illness and mortality
among women. In this study, we proposed a novel framework based on Faster RCNN-FPN …
among women. In this study, we proposed a novel framework based on Faster RCNN-FPN …
[HTML][HTML] A deep learning ensemble method to assist cytopathologists in pap test image classification
D N. Diniz, M T. Rezende, A GC Bianchi… - Journal of …, 2021 - mdpi.com
In recent years, deep learning methods have outperformed previous state-of-the-art machine
learning techniques for several problems, including image classification. Classifying cells in …
learning techniques for several problems, including image classification. Classifying cells in …
[HTML][HTML] Deep integrated fusion of local and global features for cervical cell classification
Cervical cytology image classification is of great significance to the cervical cancer
diagnosis and prognosis. Recently, convolutional neural network (CNN) and visual …
diagnosis and prognosis. Recently, convolutional neural network (CNN) and visual …
CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification framework
Abstract Background and Objectives Cervical cancer affects around 0.5 million women per
year, resulting in over 0.3 million fatalities. Therefore, repetitive screening for cervical cancer …
year, resulting in over 0.3 million fatalities. Therefore, repetitive screening for cervical cancer …
Classification of single‐cell cervical pap smear images using EfficientNet
Cervical cancer is the second leading cause of death in women in developing nations like
India. The automated cervical cancer screening systems play a critical role in diagnosing the …
India. The automated cervical cancer screening systems play a critical role in diagnosing the …
[HTML][HTML] Automated cervical cell segmentation using deep ensemble learning
J Ji, W Zhang, Y Dong, R Lin, Y Geng, L Hong - BMC Medical Imaging, 2023 - Springer
Background Cervical cell segmentation is a fundamental step in automated cervical cancer
cytology screening. The aim of this study was to develop and evaluate a deep ensemble …
cytology screening. The aim of this study was to develop and evaluate a deep ensemble …