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Uterine Cervical Neoplasms

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Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.

International journal of medical informatics
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 colposcopy, the cytology test, and the HPV test for improving cervical...

Deep learning nomogram for predicting lymph node metastasis using computed tomography image in cervical cancer.

Acta radiologica (Stockholm, Sweden : 1987)
BACKGROUND: Deep learning (DL) has been used on medical images to grade, differentiate, and predict prognosis in many tumors.

The development of "automated visual evaluation" for cervical cancer screening: The promise and challenges in adapting deep-learning for clinical testing: Interdisciplinary principles of automated visual evaluation in cervical screening.

International journal of cancer
There is limited access to effective cervical cancer screening programs in many resource-limited settings, resulting in continued high cervical cancer burden. Human papillomavirus (HPV) testing is increasingly recognized to be the preferable primary ...

Ultrasound Elastography under Deep Learning Algorithm to Analyze the Therapeutic Effect of Clustered Regularly Interspaced Short Palindromic Repeats Short Hairpin Ribonucleic Acid Nanoparticles on Cervical Cancer.

Journal of healthcare engineering
This study aimed to analyze the effect of the deep learning algorithm on ultrasound elastography on the treatment of cervical cancer with clustered regularly interspaced short palindromic repeats (CRISPR) short hairpin ribonucleic acid (shRNA) nanopa...

Deep learning-based auto-segmentation of clinical target volumes for radiotherapy treatment of cervical cancer.

Journal of applied clinical medical physics
OBJECTIVES: Because radiotherapy is indispensible for treating cervical cancer, it is critical to accurately and efficiently delineate the radiation targets. We evaluated a deep learning (DL)-based auto-segmentation algorithm for automatic contouring...

Cervical cell multi-classification algorithm using global context information and attention mechanism.

Tissue & cell
Cervical cancer is the second biggest killer of female cancer, second only to breast cancer. The cure rate of precancerous lesions found early is relatively high. Therefore, cervical cell classification has very important clinical value in the early ...

Quality of life and long-term clinical outcome following robot-assisted radical trachelectomy.

European journal of obstetrics, gynecology, and reproductive biology
UNLABELLED: Quality of Life and long-term clinical outcome following robot-assisted radical trachelectomy.

Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers.

Computers in biology and medicine
Cervical cancer is a very common and fatal type of cancer in women. Cytopathology images are often used to screen for this cancer. Given that there is a possibility that many errors can occur during manual screening, a computer-aided diagnosis system...

Multimodal MRI Analysis of Cervical Cancer on the Basis of Artificial Intelligence Algorithm.

Contrast media & molecular imaging
The purpose of this study is to explore the application value of artificial intelligence algorithm in multimodal MRI image diagnosis of cervical cancer. Based on the traditional convolutional neural network (CNN), an artificial intelligence 3D-CNN al...