AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Uterine Cervical Neoplasms

Showing 191 to 200 of 276 articles

Clear Filters

RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning.

International journal of radiation oncology, biology, physics May 12, 2020
PURPOSE: Detailed and accurate absorbed dose calculations from radiation interactions with the human body can be obtained with the Monte Carlo (MC) method. However, the MC method can be slow for use in the time-sensitive clinical workflow. The aim of...
Radiotherapy Dosage Monte Carlo Method Urinary Bladder Iridium Radioisotopes Deep Learning Prostatic Neoplasms Prostate Rectum Retrospective Studies Colon, Sigmoid Humans Female Organs at Risk Neural Networks, Computer Uterine Cervical Neoplasms Radiotherapy Planning, Computer-Assisted Male Brachytherapy
View on PubMed DOI

Discriminant analysis and interpretation of nuclear chromatin distribution and coarseness using gray-level co-occurrence matrix features for lobular endocervical glandular hyperplasia.

Diagnostic cytopathology May 6, 2020
BACKGROUND: Lobular endocervical glandular hyperplasia (LEGH) is a disease considered to be the origin of tumorigenesis of minimal deviation adenocarcinoma, which has characteristic expression in the gastric pyloric mucosa. It is difficult to diagnos...
Humans Female Aged Adult Uterine Cervical Neoplasms Support Vector Machine Middle Aged Discriminant Analysis Image Interpretation, Computer-Assisted Papanicolaou Test Hyperplasia Adenocarcinoma Chromatin
View on PubMed DOI

A New Approach for Automated Image Segmentation of Organs at Risk in Cervical Cancer.

Radiology. Imaging cancer Mar 27, 2020
Neural Networks, Computer Tomography, X-Ray Computed Female Uterine Cervical Neoplasms Humans Deep Learning Organs at Risk
View on PubMed DOI

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 Humans Deep Learning Datasets as Topic Neural Networks, Computer ROC Curve Female Papanicolaou Test Uterine Cervical Neoplasms Vaginal Smears
View on PubMed

A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network.

Tissue & cell Feb 20, 2020
The diagnosis of cervical dysplasia, carcinoma in situ and confirmed carcinoma cases is more easily perceived by commercially available and current research-based decision support systems when the scenario of pathologists to patient ratio is small. T...
Image Processing, Computer-Assisted Area Under Curve Neural Networks, Computer Uterine Cervical Neoplasms Models, Biological Algorithms Humans Deep Learning Databases as Topic Female ROC Curve Papanicolaou Test
View on PubMed DOI

Two dimensional multifractal detrended fluctuation analysis of low coherence images for diagnosis of cervical pre-cancer.

Biomedical physics & engineering express Feb 18, 2020
We report detection of cervical pre-cancer through their low coherence images by applying two dimensional multifractal detrended fluctuation analysis. Low coherent backscattered images of pre-cancerous cervical tissue sections were captured using a c...
Image Processing, Computer-Assisted Humans Support Vector Machine Algorithms Precancerous Conditions Female Fractals Uterine Cervical Dysplasia Uterine Cervical Neoplasms
View on PubMed DOI

Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram.

European radiology Feb 17, 2020
PURPOSE: To develop and identify a MRI-based radiomics nomogram for the preoperative prediction of parametrial invasion (PMI) in patients with early-stage cervical cancer (ECC).
Magnetic Resonance Imaging Neoplasm Invasiveness Neoplasm Grading Peritoneum Middle Aged Nomograms Support Vector Machine Age Factors Hysterectomy Informatics Diffusion Magnetic Resonance Imaging Humans Algorithms Retrospective Studies Female Reproducibility of Results Aged Adult Uterine Cervical Neoplasms
View on PubMed DOI

Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jan 6, 2020
PURPOSE: We introduced and evaluated an end-to-end organs-at-risk (OARs) segmentation model that can provide accurate and consistent OARs segmentation results in much less time.
Tomography, X-Ray Computed Female Reproducibility of Results Adult Uterine Cervical Neoplasms Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Radiation Oncology Organs at Risk Radiotherapy Planning, Computer-Assisted Observer Variation
View on PubMed DOI

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...
Early Detection of Cancer Papillomaviridae Human papillomavirus 16 Human papillomavirus 18 Humans Female Uterine Cervical Neoplasms Point-of-Care Systems Deep Learning Cervix Uteri
View on PubMed DOI

Machine Learning Interpretation of Extended Human Papillomavirus Genotyping by Onclarity in an Asian Cervical Cancer Screening Population.

Journal of clinical microbiology Nov 22, 2019
This study aimed (i) to compare the performance of the BD Onclarity human papillomavirus (HPV) assay with the Cobas HPV test in identifying cervical intraepithelial neoplasia 2/3 or above (CIN2/3+) in an Asian screening population and (ii) to explore...
Uterine Cervical Dysplasia Papillomaviridae Humans Papillomavirus Infections Machine Learning Early Detection of Cancer Female Asian People Aged Uterine Cervical Neoplasms Genotyping Techniques Aged, 80 and over Middle Aged Young Adult Adolescent Adult Genotype Sensitivity and Specificity
View on PubMed DOI
Popular Topics
Recent Journals