AIMC Topic: Cervix Uteri
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Saliency-driven system models for cell analysis with deep learning.
Computer methods and programs in biomedicine
Aug 26, 2019
BACKGROUND AND OBJECTIVES: Saliency refers to the visual perception quality that makes objects in a scene to stand out from others and attract attention. While computational saliency models can simulate the expert's visual attention, there is little ...
Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM With Multistate CNN Features.
IEEE journal of biomedical and health informatics
Jun 13, 2019
Cervical cancer ranks as the second most common cancer in women worldwide. In clinical practice, colposcopy is an indispensable part of screening for cervical intraepithelial neoplasia (CIN) grades and cervical cancer but exhibits high misdiagnosis r...
Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [F]-fluorodeoxyglucose positron emission tomography/computed tomography.
European radiology
May 27, 2019
BACKGROUND: We designed a deep learning model for assessing F-FDG PET/CT for early prediction of local and distant failures for patients with locally advanced cervical cancer.
Humans
Prognosis
Retrospective Studies
Female
Sensitivity and Specificity
Uterine Cervical Neoplasms
Middle Aged
Deep Learning
Aged
Aged, 80 and over
Adult
Chemoradiotherapy
Recurrence
Positron Emission Tomography Computed Tomography
Neoplasm Recurrence, Local
Radiopharmaceuticals
Fluorodeoxyglucose F18
Cohort Studies
Treatment Outcome
Cervix Uteri
Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants.
Journal of Korean medical science
Apr 29, 2019
BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for analyzing preterm birth and its major determinants.
Cervical cell recognition based on AGVF-Snake algorithm.
International journal of computer assisted radiology and surgery
Apr 9, 2019
PURPOSE: In recent years, with the increasing incidence of cervical cancer, it is a tedious and time-consuming task with unsatisfying accuracy to manually recognize the cells. Machine recognition can be a good solution, but it suffers from the diffic...
Metal artifact reduction on cervical CT images by deep residual learning.
Biomedical engineering online
Nov 27, 2018
BACKGROUND: Cervical cancer is the fifth most common cancer among women, which is the third leading cause of cancer death in women worldwide. Brachytherapy is the most effective treatment for cervical cancer. For brachytherapy, computed tomography (C...
Use of Topical Lidocaine Gel Plus Paracervical Blockade vs. Paracervical Blockade Alone for Pain Management During Manual Vacuum Aspiration: ADouble-Blind, Randomized, Placebo-Controlled Trial.
Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC
Oct 26, 2018
OBJECTIVE: To evaluate if the use of lidocaine gel applied to the cervix prior to manual vacuum aspiration (MVA) in addition to paracervical blockade is useful in reducing the level of pain associated with the procedure.
Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jul 18, 2018
In this paper, we propose a novel contour-seed pairs learning-based framework for robust and automated cell/nucleus segmentation. Automated granular object segmentation in microscopy images has significant clinical importance for pathology grading of...
A Dynamic Compliance Cervix Phantom Robot for Latent Labor Simulation.
Soft robotics
May 9, 2018
Physical simulation systems are commonly used in training of midwifery and obstetrics students, but none of these systems offers a dynamic compliance aspect that would make them more truly representative of cervix ripening. In this study, we introduc...
DeepPap: Deep Convolutional Networks for Cervical Cell Classification.
IEEE journal of biomedical and health informatics
May 19, 2017
Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a highly effective cell imaging based cancer detection tool, where cells are partitioned into "abnormal" and "normal" categories. However, the success of most trad...
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