AIMC Topic: Cervix Uteri
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Deep Learning Diagnostic Classification of Cervical Images to Augment Colposcopic Impression.
Journal of lower genital tract disease
May 7, 2024
OBJECTIVE: A deep learning classifier that improves the accuracy of colposcopic impression.
Deep learning algorithm for predicting preterm birth in the case of threatened preterm labor admissions using transvaginal ultrasound.
Journal of medical ultrasonics (2001)
Dec 15, 2023
PURPOSE: Preterm birth presents a major challenge in perinatal care, and predicting preterm birth remains a major challenge. If preterm birth cases can be accurately predicted during pregnancy, preventive interventions and more intensive prenatal mon...
Application of EfficientNet-B0 and GRU-based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions.
Cancer medicine
Jan 11, 2023
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%, and the accuracy is largely dependent on the skill and experience of...
Colposcopic multimodal fusion for the classification of cervical lesions.
Physics in medicine and biology
Jun 22, 2022
: Cervical cancer is one of the two biggest killers of women and early detection of cervical precancerous lesions can effectively improve the survival rate of patients. Manual diagnosis by combining colposcopic images and clinical examination results...
AL-Net: Attention Learning Network Based on Multi-Task Learning for Cervical Nucleus Segmentation.
IEEE journal of biomedical and health informatics
Jun 3, 2022
Cervical nucleus segmentation is a crucial and challenging issue in automatic pathological diagnosis due to uneven staining, blurry boundaries, and adherent or overlapping nuclei in nucleus images. To overcome the limitation of current methods, we pr...
Prediction of preterm birth using artificial intelligence: a systematic review.
Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology
Jun 1, 2022
Preterm birth is the leading cause of neonatal death. It is challenging to predict preterm birth. We elucidated the state of artificial intelligence research on the prediction of preterm birth, clarifying the predictive values and accuracy. We perfor...
RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model.
Sensors (Basel, Switzerland)
May 7, 2022
Cervical cancer is one of the main causes of death from cancer in women. However, it can be treated successfully at an early stage. This study aims to propose an image processing algorithm based on acetowhite, which is an important criterion for diag...
Cervical optical coherence tomography image classification based on contrastive self-supervised texture learning.
Medical physics
Apr 13, 2022
BACKGROUND: Cervical cancer (CC) seriously affects the health of the female reproductive system. Optical coherence tomography (OCT) emerged as a noninvasive, high-resolution imaging technology for cervical disease detection. However, OCT image annota...
[The first data challenge of the french society of pathology: An international competition in 2020, a research tool in A.I. for the future?].
Annales de pathologie
Jan 7, 2022
The french society of pathology (SFP) organized in 2020 its first data challenge with the help of Health Data Hub (HDH). The organisation of this event first consisted in recruiting almost 5000 slides of uterus cervical biopsies obtained in 20 pathol...
Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.
International journal of medical informatics
Dec 28, 2021
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...
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