AIMC Journal:
Computer methods and programs in biomedicine

Showing 371 to 380 of 844 articles

Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network.

Computer methods and programs in biomedicine Mar 23, 2022
BACKGROUND AND OBJECTIVE: Prostate cancer is the most common cancer of the male reproductive system. With the development of medical imaging technology, magnetic resonance images (MRI) have been used in the diagnosis and treatment of prostate cancer ...
Image Processing, Computer-Assisted Male Prostatic Neoplasms Humans Magnetic Resonance Imaging Prostate Deep Learning Neural Networks, Computer
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A visually interpretable detection method combines 3-D ECG with a multi-VGG neural network for myocardial infarction identification.

Computer methods and programs in biomedicine Mar 23, 2022
BACKGROUND AND OBJECTIVE: The automatic recognition of myocardial infarction (MI) by artificial intelligence (AI) has been an emerging topic of academic research and an existing classification method that can recognize conventional electrocardiogram ...
Neural Networks, Computer Electrocardiography Humans Algorithms Myocardial Infarction Artificial Intelligence Databases, Factual
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Improving convolutional neural network learning based on a hierarchical bezier generative model for stenosis detection in X-ray images.

Computer methods and programs in biomedicine Mar 23, 2022
BACKGROUND AND OBJECTIVE: Automatic detection of stenosis on X-ray Coronary Angiography (XCA) images may help diagnose early coronary artery disease. Stenosis is manifested by a buildup of plaque in the arteries, decreasing the blood flow to the hear...
Humans Neural Networks, Computer Coronary Angiography Constriction, Pathologic Coronary Artery Disease X-Rays
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Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features.

Computer methods and programs in biomedicine Mar 17, 2022
BACKGROUND AND OBJECTIVE: Radiomics and deep learning have emerged as two distinct approaches to medical image analysis. However, their relative expressive power remains largely unknown. Theoretically, hand-crafted radiomic features represent a mere ...
Neoplasms Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted
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BFENet: A two-stream interaction CNN method for multi-label ophthalmic diseases classification with bilateral fundus images.

Computer methods and programs in biomedicine Mar 11, 2022
BACKGROUND AND OBJECTIVE: Early fundus screening and timely treatment of ophthalmology diseases can effectively prevent blindness. Previous studies just focus on fundus images of single eye without utilizing the useful relevant information of the lef...
Fundus Oculi Humans Diagnostic Techniques, Ophthalmological Eye Diseases Neural Networks, Computer
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Objective quantification of the severity of postural tremor based on kinematic parameters: A multi-sensory fusion study.

Computer methods and programs in biomedicine Mar 9, 2022
BACKGROUND: Current clinical assessments of essential tremor (ET) are primarily based on expert consultation combined with reviewing patient complaints, physician expertise, and diagnostic experience. Thus, traditional evaluation methods often lead t...
Tremor Algorithms Biomechanical Phenomena Artificial Intelligence Machine Learning Humans
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A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs.

Computer methods and programs in biomedicine Mar 6, 2022
BACKGROUND AND OBJECTIVES: Patients with angle-closure glaucoma (ACG) are asymptomatic until they experience a painful attack. Shallow anterior chamber depth (ACD) is considered a significant risk factor for ACG. We propose a deep learning approach t...
Optic Disk Diagnostic Techniques, Ophthalmological ROC Curve Fundus Oculi Anterior Chamber Humans Retrospective Studies Deep Learning
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Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review.

Computer methods and programs in biomedicine Mar 5, 2022
Artificial intelligence (AI) and computer vision (CV) methods become reliable to extract features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests and saving critical time for disease management and control. Thus, thi...
Humans Deep Learning Artificial Intelligence COVID-19 COVID-19 Testing Tomography, X-Ray Computed SARS-CoV-2
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DilUnet: A U-net based architecture for blood vessels segmentation.

Computer methods and programs in biomedicine Mar 5, 2022
BACKGROUND AND OBJECTIVE: Retinal image segmentation can help clinicians detect pathological disorders by studying changes in retinal blood vessels. This early detection can help prevent blindness and many other vision impairments. So far, several su...
Retina Retinal Vessels Neural Networks, Computer Image Processing, Computer-Assisted
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An interactive framework for the detection of ictal and interictal activities: Cross-species and stand-alone implementation.

Computer methods and programs in biomedicine Mar 2, 2022
BACKGROUND AND OBJECTIVE: Despite advances on signal analysis and artificial intelligence, visual inspection is the gold standard in event detection on electroencephalographic recordings. This process requires much time of clinical experts on both an...
Artificial Intelligence Machine Learning Humans Seizures Animals Electroencephalography Mice Epilepsy
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