AIMC Journal:
Computer methods and programs in biomedicine

Showing 551 to 560 of 861 articles

A size-invariant convolutional network with dense connectivity applied to retinal vessel segmentation measured by a unique index.

Computer methods and programs in biomedicine May 31, 2020
BACKGROUND AND OBJECTIVES: Retinal vessel segmentation (RVS) helps in diagnosing diseases such as hypertension, cardiovascular diseases, and others. Convolutional neural networks are widely used in RVS tasks. However, how to comprehensively evaluate ...
Neural Networks, Computer Databases, Factual Retinal Vessels Image Processing, Computer-Assisted
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Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans.

Computer methods and programs in biomedicine May 26, 2020
BACKGROUND AND OBJECTIVES: Aged people usually are more to be diagnosed with retinal diseases in developed countries. Retinal capillaries leakage into the retina swells and causes an acute vision loss, which is called age-related macular degeneration...
Macular Degeneration Retina Neural Networks, Computer Deep Learning Aged Humans Tomography, Optical Coherence
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Mass detection in mammograms by bilateral analysis using convolution neural network.

Computer methods and programs in biomedicine May 24, 2020
BACKGROUND AND OBJECTIVE: Automatic detection of the masses in mammograms is a big challenge and plays a crucial role to assist radiologists for accurate diagnosis. In this paper, a bilateral image analysis method based on Convolution Neural Network ...
Image Processing, Computer-Assisted Mammography Neural Networks, Computer
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Predictive modeling of blood pressure during hemodialysis: a comparison of linear model, random forest, support vector regression, XGBoost, LASSO regression and ensemble method.

Computer methods and programs in biomedicine May 22, 2020
BACKGROUND: Intradialytic hypotension (IDH) is commonly occurred and links to higher mortality among patients undergoing hemodialysis (HD). Its early prediction and prevention will dramatically improve the quality of life. However, predicting the occ...
Linear Models Blood Pressure Machine Learning Algorithms Quality of Life Renal Dialysis Humans
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Performance improvement of mediastinal lymph node severity detection using GAN and Inception network.

Computer methods and programs in biomedicine May 22, 2020
BACKGROUND AND OBJECTIVE: In lung cancer, the determination of mediastinal lymph node (MLN) status as benign or malignant influence treatment planning and survival rate. Invasive pathological tests for the classification of MLNs into benign and malig...
Humans Computer Systems Lung Neoplasms Neural Networks, Computer Tomography, X-Ray Computed Lymph Nodes
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Acute and sub-acute stroke lesion segmentation from multimodal MRI.

Computer methods and programs in biomedicine May 6, 2020
BACKGROUND AND OBJECTIVE: Acute stroke lesion segmentation tasks are of great clinical interest as they can help doctors make better informed time-critical treatment decisions. Magnetic resonance imaging (MRI) is time demanding but can provide images...
Reproducibility of Results Magnetic Resonance Imaging Multimodal Imaging Stroke Humans Neural Networks, Computer
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Web-based fully automated cephalometric analysis by deep learning.

Computer methods and programs in biomedicine May 6, 2020
BACKGROUND AND OBJECTIVE: An accurate lateral cephalometric analysis is vital in orthodontic diagnosis. Identification of anatomic landmarks on lateral cephalograms is tedious, and errors may occur depending on the doctor's experience. Several attemp...
Anatomic Landmarks Cephalometry Deep Learning Radiography Internet
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Accurate recognition of lower limb ambulation mode based on surface electromyography and motion data using machine learning.

Computer methods and programs in biomedicine Apr 29, 2020
Background and Objective The lower limb activity of recognition of the elderly, the weak, the disabled and the sick is an irreplaceable role in the caring of daily life. The main purpose of this study is to assess the feasibility of using the surface...
Electromyography Support Vector Machine Machine Learning Aged Walking Lower Extremity Humans Activities of Daily Living Algorithms
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Exploration of critical care data by using unsupervised machine learning.

Computer methods and programs in biomedicine Apr 28, 2020
BACKGROUND AND OBJECTIVE: Identification of subgroups may be useful to understand the clinical characteristics of ICU patients. The purposes of this study were to apply an unsupervised machine learning method to ICU patient data to discover subgroups...
Cluster Analysis Unsupervised Machine Learning Machine Learning Critical Care Humans
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Deeply self-supervised contour embedded neural network applied to liver segmentation.

Computer methods and programs in biomedicine Mar 15, 2020
OBJECTIVE: Herein, a neural network-based liver segmentation algorithm is proposed, and its performance was evaluated using abdominal computed tomography (CT) images.
Image Processing, Computer-Assisted Humans Supervised Machine Learning Neural Networks, Computer Liver Algorithms
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