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 …
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 …
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 …
and treated at an early stage, the cure rate is almost 100%. Colposcopy can be used to …
Application of EfficientNet‐B0 and GRU‐based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions
X Chen, X Pu, Z Chen, L Li, KN Zhao, H Liu… - Cancer …, 2023 - Wiley Online Library
Background Colposcopy is indispensable for the diagnosis of cervical lesions. However, its
diagnosis accuracy for high‐grade squamous intraepithelial lesion (HSIL) is at about 50 …
diagnosis accuracy for high‐grade squamous intraepithelial lesion (HSIL) is at about 50 …
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 …
Cervical precancerous lesions classification using pre-trained densely connected convolutional networks with colposcopy images
T Zhang, Y Luo, P Li, P Liu, Y Du, P Sun… - … signal processing and …, 2020 - Elsevier
Colposcopy is currently a common medical technique for preventing cervical cancer.
However, with the increase of the workload, screening by artificial vision has the problems of …
However, with the increase of the workload, screening by artificial vision has the problems of …
Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test
Purpose To develop and evaluate the colposcopy based deep learning model using all
kinds of cervical images for cervical screening, and investigate the synergetic benefits of the …
kinds of cervical images for cervical screening, and investigate the synergetic benefits of the …
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 …
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 …
Classification of cervical neoplasms on colposcopic photography using deep learning
Colposcopy is widely used to detect cervical cancers, but experienced physicians who are
needed for an accurate diagnosis are lacking in developing countries. Artificial intelligence …
needed for an accurate diagnosis are lacking in developing countries. Artificial intelligence …
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