AIMC Journal:
Computer methods and programs in biomedicine

Showing 331 to 340 of 844 articles

Unsupervised domain adaptation method for segmenting cross-sectional CCA images.

Computer methods and programs in biomedicine Jul 22, 2022
BACKGROUND AND OBJECTIVES: Automatic vessel segmentation in ultrasound is challenging due to the quality of the ultrasound images, which is affected by attenuation, high level of speckle noise and acoustic shadowing. Recently, deep convolutional neur...
Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Cross-Sectional Studies
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Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis.

Computer methods and programs in biomedicine Jul 21, 2022
BACKGROUND AND OBJECTIVE: The specific aim of this study is to develop machine learning models as a clinical approach for personalized treatment of osteoporosis. The model performance on outcome prediction was compared between four machine learning a...
Retrospective Studies Humans Osteoporosis Neural Networks, Computer Logistic Models Machine Learning
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KUB-UNet: Segmentation of Organs of Urinary System from a KUB X-ray Image.

Computer methods and programs in biomedicine Jul 17, 2022
PURPOSE: The alarming increase in diseases of urinary system is a cause of concern for the populace and health experts. The traditional techniques used for the diagnosis of these diseases are inconvenient for patients, require high cost, and addition...
X-Rays Kidney Artificial Intelligence Tomography, X-Ray Computed Reproducibility of Results Image Processing, Computer-Assisted Humans
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An analysis of the influence of transfer learning when measuring the tortuosity of blood vessels.

Computer methods and programs in biomedicine Jul 16, 2022
BACKGROUND AND OBJECTIVE: Convolutional Neural Networks (CNNs) can provide excellent results regarding the segmentation of blood vessels. One important aspect of CNNs is that they can be trained on large amounts of data and then be made available, fo...
Machine Learning Learning Image Processing, Computer-Assisted Neural Networks, Computer
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Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.

Computer methods and programs in biomedicine Jul 10, 2022
BACKGROUND AND OBJECTIVE: Leukemia represents 30% of all pediatric cancers and is considered the most common malignancy affecting adults and children. Cell differential count obtained from bone marrow aspirate smears is crucial for diagnosing hematol...
Image Processing, Computer-Assisted Bone Marrow Neural Networks, Computer Machine Learning Sensitivity and Specificity Child Humans
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Towards automated coronary artery segmentation: A systematic review.

Computer methods and programs in biomedicine Jul 8, 2022
BACKGROUND AND OBJECTIVE: Vessel segmentation is the first processing stage of 3D medical images for both clinical and research use. Current segmentation methods are tedious and time consuming, requiring significant manual correction and hence are in...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Coronary Vessels Neural Networks, Computer Machine Learning
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Determination gender-based hybrid artificial intelligence of body muscle percentage by photoplethysmography signal.

Computer methods and programs in biomedicine Jul 8, 2022
BACKGROUND AND OBJECTIVE: Muscle mass is one of the critical components that ensure muscle function. Loss of muscle mass at every stage of life can cause many adverse effects. Sarcopenia, which can occur in different age groups and is characterized b...
Algorithms Female Artificial Intelligence Machine Learning Humans Photoplethysmography Male Muscles Quality of Life
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HPM-Net: Hierarchical progressive multiscale network for liver vessel segmentation in CT images.

Computer methods and programs in biomedicine Jul 7, 2022
BACKGROUND AND OBJECTIVE: The segmentation and visualization of liver vessels in 3D CT images are essential for computer-aided diagnosis and preoperative planning of liver diseases. Due to the irregular structure of liver vessels and image noise, acc...
Tomography, X-Ray Computed Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Liver Deep Learning Imaging, Three-Dimensional
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MemBrain: A deep learning-aided pipeline for detection of membrane proteins in Cryo-electron tomograms.

Computer methods and programs in biomedicine Jul 1, 2022
BACKGROUND AND OBJECTIVE: Cryo-electron tomography (cryo-ET) is an imaging technique that enables 3D visualization of the native cellular environment at sub-nanometer resolution, providing unpreceded insights into the molecular organization of cells....
Image Processing, Computer-Assisted Electron Microscope Tomography Electrons Deep Learning Cryoelectron Microscopy Membrane Proteins
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VOC-DL: Deep learning prediction model for COVID-19 based on VOC virus variants.

Computer methods and programs in biomedicine Jun 30, 2022
BACKGROUND AND OBJECTIVE: The ever-mutating COVID-19 has infected billions of people worldwide and seriously affected the stability of human society and the world economic development. Therefore, it is essential to make long-term and short-term forec...
Humans Pandemics COVID-19 India Forecasting Deep Learning
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