AIMC Topic: Cervix Uteri

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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 Nov 11, 2021
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...
Uterine Cervical Neoplasms Diagnosis, Computer-Assisted Deep Learning Cervix Uteri Humans Neural Networks, Computer Female
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Segmentation of Overlapping Cervical Cells with Mask Region Convolutional Neural Network.

Computational and mathematical methods in medicine Oct 4, 2021
The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in cervix cytological analysis due to the presence of fuzzy and highly overlapping cells. Deep learning-based diagnostic technology has proven to be effective in...
Cervix Uteri Cytodiagnosis Image Interpretation, Computer-Assisted Cytoplasm Uterine Cervical Neoplasms Deep Learning Vaginal Smears Computational Biology Humans Neural Networks, Computer Databases, Factual Female
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A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets.

PloS one Jul 1, 2021
PURPOSE: To facilitate the demonstration of the prognostic value of radiomics, multicenter radiomics studies are needed. Pooling radiomic features of such data in a statistical analysis is however challenging, as they are sensitive to the variability...
Treatment Outcome Follow-Up Studies Magnetic Resonance Imaging Cervix Uteri Adult Uterine Cervical Neoplasms Middle Aged Decision Support Systems, Clinical Positron-Emission Tomography Image Interpretation, Computer-Assisted Datasets as Topic Chemoradiotherapy Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Young Adult
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Prediction of preterm birth based on machine learning using bacterial risk score in cervicovaginal fluid.

American journal of reproductive immunology (New York, N.Y. : 1989) May 10, 2021
PROBLEM: Preterm birth (PTB) is a major cause of increased morbidity and mortality in newborns. The main cause of spontaneous PTB (sPTB) is the activation of an inflammatory response as a result of ascending genital tract infection. Despite various s...
Case-Control Studies Cervix Uteri Microbiota Body Fluids Female Premature Birth Risk Factors Adult Vagina Humans Machine Learning Pregnancy
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CT based automatic clinical target volume delineation using a dense-fully connected convolution network for cervical Cancer radiation therapy.

BMC cancer Mar 8, 2021
BACKGROUND: It is very important to accurately delineate the CTV on the patient's three-dimensional CT image in the radiotherapy process. Limited to the scarcity of clinical samples and the difficulty of automatic delineation, the research of automat...
Imaging, Three-Dimensional Cervix Uteri Neoplasm Staging Radiotherapy Planning, Computer-Assisted Radiotherapy, Adjuvant Neural Networks, Computer Tomography, X-Ray Computed Female Uterine Cervical Neoplasms Humans
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Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning.

Laboratory investigation; a journal of technical methods and pathology Feb 1, 2021
Cervical cancer is one of the most frequent cancers in women worldwide, yet the early detection and treatment of lesions via regular cervical screening have led to a drastic reduction in the mortality rate. However, the routine examination of screeni...
Humans Female Uterine Cervical Neoplasms Deep Learning Cervix Uteri Neoplasm Grading Image Interpretation, Computer-Assisted
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Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: A multicenter, clinical-based, observational study.

Gynecologic oncology Aug 16, 2020
OBJECTIVE: Artificial intelligence (AI) could automatedly detect abnormalities in digital cytological images, however, the effect in cervical cancer screening is inconclusive. We aim to evaluate the performance of AI-assisted cytology for the detecti...
Humans Female Adult Uterine Cervical Neoplasms Middle Aged Datasets as Topic Severity of Illness Index Uterine Cervical Dysplasia Deep Learning Papillomaviridae Image Processing, Computer-Assisted Colposcopy Vaginal Smears Neoplasm Invasiveness Papillomavirus Infections Predictive Value of Tests Cervix Uteri Triage Early Detection of Cancer Biopsy
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The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images.

Scientific reports Jul 15, 2020
Background Deep learning has presented considerable potential and is gaining more importance in computer assisted diagnosis. As the gold standard for pathologically diagnosing cervical intraepithelial lesions and invasive cervical cancer, colposcopy-...
Humans Retrospective Studies Female Adult Papillomavirus Infections Uterine Cervical Dysplasia Cervix Uteri Papillomaviridae Early Detection of Cancer Colposcopy Models, Statistical Neoplasm Grading Squamous Intraepithelial Lesions Biopsy Uterine Cervical Neoplasms Image Interpretation, Computer-Assisted Middle Aged Datasets as Topic Deep Learning Vaginal Smears
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Comparing Deep Learning Models for Multi-cell Classification in Liquid- based Cervical Cytology Image.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Liquid-based cytology (LBC) is a reliable automated technique for the screening of Papanicolaou (Pap) smear data. It is an effective technique for collecting a majority of the cervical cells and aiding cytopathologists in locating abnormal cells. Mos...
Cervix Uteri Deep Learning Humans Datasets as Topic ROC Curve Neural Networks, Computer Papanicolaou Test Female Vaginal Smears Uterine Cervical Neoplasms
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Point-of-care cervical cancer screening using deep learning-based microholography.

Theranostics Nov 26, 2019
Most deaths (80%) from cervical cancer occur in regions lacking adequate screening infrastructures or ready access to them. In contrast, most developed countries now embrace human papillomavirus (HPV) analyses as standalone screening; this transition...
Humans Early Detection of Cancer Female Papillomaviridae Uterine Cervical Neoplasms Human papillomavirus 16 Point-of-Care Systems Human papillomavirus 18 Deep Learning Cervix Uteri
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