AIMC Journal:
Computer methods and programs in biomedicine

Showing 521 to 530 of 854 articles

pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis.

Computer methods and programs in biomedicine Oct 19, 2020
BACKGROUND AND OBJECTIVE: Deep learning enables tremendous progress in medical image analysis. One driving force of this progress are open-source frameworks like TensorFlow and PyTorch. However, these frameworks rarely address issues specific to the ...
Deep Learning
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CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation.

Computer methods and programs in biomedicine Oct 15, 2020
BACKGROUND AND OBJECTIVE: An accurate segmentation of lung nodules in computed tomography images is a crucial step for the physical characterization of the tumour. Being often completely manually accomplished, nodule segmentation turns to be a tediou...
Humans Neural Networks, Computer Algorithms Databases, Factual Tomography, X-Ray Computed Lung
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Biomedical image classification made easier thanks to transfer and semi-supervised learning.

Computer methods and programs in biomedicine Oct 3, 2020
BACKGROUND AND OBJECTIVES: Deep learning techniques are the state-of-the-art approach to solve image classification problems in biomedicine; however, they require the acquisition and annotation of a considerable volume of images. In addition, using d...
Machine Learning Supervised Machine Learning
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VSSC Net: Vessel Specific Skip chain Convolutional Network for blood vessel segmentation.

Computer methods and programs in biomedicine Sep 28, 2020
BACKGROUND AND OBJECTIVE: Deep learning techniques are instrumental in developing network models that aid in the early diagnosis of life-threatening diseases. To screen and diagnose the retinal fundus and coronary blood vessel disorders, the most imp...
Neural Networks, Computer Coronary Angiography Fundus Oculi Retinal Vessels
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Virus identification in electron microscopy images by residual mixed attention network.

Computer methods and programs in biomedicine Sep 24, 2020
BACKGROUND AND OBJECTIVE: Virus identification in electron microscopy (EM) images is considered as one of the front-line method in pathogen diagnosis and re-emerging infectious agents. However, the existing methods either focused on the detection of ...
Humans Neural Networks, Computer Microscopy, Electron, Transmission Viruses
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Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.

Computer methods and programs in biomedicine Sep 20, 2020
BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) is the most common type of dementia that can seriously affect a person's ability to perform daily activities. Estimates indicate that AD may rank third as a cause of death for older people, after hea...
Humans Neural Networks, Computer Aged Aged, 80 and over Deep Learning Area Under Curve Alzheimer Disease
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Fuzzy logic programming and adaptable design of medical products for the COVID-19 anti-epidemic normalization.

Computer methods and programs in biomedicine Sep 16, 2020
BACKGROUND: The COVID-19 prevention and control constantly affects lives worldwide. In this paper, household medical products were analyzed using fuzzy logic. Considering the household anti-epidemic status, economic and environmental benefits, the ad...
Humans Pandemics COVID-19 China Surveys and Questionnaires Computational Biology Fuzzy Logic Equipment Design Probability Housing Household Articles Household Products
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Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks.

Computer methods and programs in biomedicine Sep 16, 2020
BACKGROUND AND OBJECTIVE: Retinal imaging has two major modalities, traditional fundus photography (TFP) and ultra-widefield fundus photography (UWFP). This study demonstrates the feasibility of a state-of-the-art deep learning-based domain transfer ...
Humans Deep Learning Fundus Oculi Retina Diagnostic Techniques, Ophthalmological Photography
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Using an improved relative error support vector machine for body fat prediction.

Computer methods and programs in biomedicine Sep 15, 2020
BACKGROUND AND OBJECTIVE: The term 'obesity' refers to excessive body fat, and it is a chronic disease associated with various complications. Although a range of techniques for body fat estimation have been developed to assess obesity, they are typic...
Humans Support Vector Machine Adipose Tissue
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A novel solution of using deep learning for left ventricle detection: Enhanced feature extraction.

Computer methods and programs in biomedicine Sep 15, 2020
BACKGROUND AND AIM: deep learning algorithms have not been successfully used for the left ventricle (LV) detection in echocardiographic images due to overfitting and vanishing gradient descent problem. This research aims to increase accuracy and impr...
Neural Networks, Computer Algorithms Deep Learning Heart Ventricles
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