AIMC Journal:
Computer methods and programs in biomedicine

Showing 531 to 540 of 854 articles

An ensemble of deep neural networks for kidney ultrasound image classification.

Computer methods and programs in biomedicine Aug 23, 2020
BACKGROUND AND OBJECTIVE: Chronic kidney disease is a worldwide health issue which includes not only kidney failure but also complications of reduced kidney functionality. Cyst formation, nephrolithiasis or kidney stone, and renal cell carcinoma or k...
Humans Kidney Neoplasms Ultrasonography Neural Networks, Computer Kidney
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Machine learning-based mortality rate prediction using optimized hyper-parameter.

Computer methods and programs in biomedicine Aug 18, 2020
OBJECTIVE AND BACKGROUND: The current scenario of the Pandemic of COVID-19 demands multi-channel investigations and predictions. A variety of prediction models are available in the literature. The majority of these models are based on extrapolating b...
Normal Distribution Computational Biology Models, Statistical COVID-19 Nonlinear Dynamics Statistics, Nonparametric Sweden Machine Learning Regression Analysis Pandemics Models, Biological Humans
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Classifying the type of delivery from cardiotocographic signals: A machine learning approach.

Computer methods and programs in biomedicine Aug 18, 2020
BACKGROUND AND OBJECTIVE: Cardiotocography (CTG) is the most employed methodology to monitor the foetus in the prenatal phase. Since the evaluation of CTG is often visual, and hence qualitative and too subjective, some automated methods have been int...
Algorithms Pregnancy Female Cesarean Section Machine Learning Software Humans Cardiotocography
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Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model.

Computer methods and programs in biomedicine Aug 15, 2020
BACKGROUND AND OBJECTIVE: Currently, it is challenging to detect acute ischemic stroke (AIS)-related changes on computed tomography (CT) images. Therefore, we aimed to develop and evaluate an automatic AIS detection system involving a two-stage deep ...
Ischemic Stroke Stroke Tomography, X-Ray Computed Brain Ischemia Deep Learning Humans
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Generating diagnostic report for medical image by high-middle-level visual information incorporation on double deep learning models.

Computer methods and programs in biomedicine Aug 11, 2020
BACKGROUND AND OBJECTIVES: Writing diagnostic reports for medical images is a heavy and tedious work. The automatic generation of medical image diagnostic reports can assist doctors to reduce their workload and improve diagnosis efficiency. It is of ...
Ultrasonography Image Processing, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning Algorithms
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Decentralized convolutional neural network for evaluating spinal deformity with spinopelvic parameters.

Computer methods and programs in biomedicine Aug 9, 2020
Low back pain which is caused by the abnormal spinal alignment is one of the most common musculoskeletal symptom and, consequently, is the reason for not only reduction of productivity but also personal suffering. In clinical diagnosis for this disea...
Neural Networks, Computer Spine Rotation
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Esophagus segmentation from planning CT images using an atlas-based deep learning approach.

Computer methods and programs in biomedicine Aug 7, 2020
BACKGROUND AND OBJECTIVE: One of the main steps in the planning of radiotherapy (RT) is the segmentation of organs at risk (OARs) in Computed Tomography (CT). The esophagus is one of the most difficult OARs to segment. The boundaries between the esop...
Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed Esophagus Humans
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Digital application developed to evaluate functional results following robot-assisted radical prostatectomy: App for prostate cancer.

Computer methods and programs in biomedicine Aug 3, 2020
INTRODUCTION: Mobile applications ("apps") developed for smartphones and tablets are increasingly used in healthcare, allowing remote patient support or promoting self-health care. Prostate cancer (PC) screening allows for early-stage PC diagnosis, r...
Prospective Studies Prostatic Neoplasms Male Prostatectomy Mobile Applications Humans Robotics
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Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs.

Computer methods and programs in biomedicine Aug 2, 2020
BACKGROUND: Magnetic resonance images (MRI) is the main diagnostic tool for risk stratification and treatment decision in nasopharyngeal carcinoma (NPC). However, the holistic feature information of multi-parametric MRIs has not been fully exploited ...
Retrospective Studies Deep Learning Humans Nasopharyngeal Neoplasms Magnetic Resonance Imaging Nasopharyngeal Carcinoma
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Survivability modelling using Bayesian network for patients with first and secondary primary cancers.

Computer methods and programs in biomedicine Aug 1, 2020
BACKGROUND AND OBJECTIVE: Multiple primary cancers significantly threat patient survivability. Predicting the survivability of patients with two cancers is challenging because its stochastic pattern relates with numerous variables.
Humans Neural Networks, Computer Logistic Models Taiwan Prognosis Bayes Theorem Neoplasms
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