AIMC Topic: Diagnostic Imaging

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Artificial intelligence in medical imaging.

Magnetic resonance imaging Dec 16, 2019
The medical specialty radiology has experienced a number of extremely important and influential technical developments in the past that have affected how medical imaging is deployed. Artificial intelligence (AI) is potentially another such developmen...
Diagnostic Imaging Radiology Magnetic Resonance Imaging Radiography Artificial Intelligence Machine Learning Diagnosis, Computer-Assisted Deep Learning Algorithms Humans Neural Networks, Computer
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Precise Quantitative Analysis of Cell Targeting by Particle-Based Agents Using Imaging Flow Cytometry and Convolutional Neural Network.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Dec 6, 2019
Understanding the intricacies of particle-cell interactions is essential for many applications such as imaging, phototherapy, and drug/gene delivery, because it is the key to accurate control of the particle properties for the improvement of their th...
Image Processing, Computer-Assisted Diagnostic Imaging Flow Cytometry Humans Neural Networks, Computer
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MedGAN: Medical image translation using GANs.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 22, 2019
Image-to-image translation is considered a new frontier in the field of medical image analysis, with numerous potential applications. However, a large portion of recent approaches offers individualized solutions based on specialized task-specific arc...
Neural Networks, Computer Brain Diagnostic Imaging Image Processing, Computer-Assisted Humans
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Machine Learning to Quantitate Neutrophil NETosis.

Scientific reports Nov 15, 2019
We introduce machine learning (ML) to perform classification and quantitation of images of nuclei from human blood neutrophils. Here we assessed the use of convolutional neural networks (CNNs) using free, open source software to accurately quantitate...
Cell Death Necrosis Signal Transduction Extracellular Traps Reactive Oxygen Species Diagnostic Imaging Neutrophils Phenotype Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning Humans
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Artificial Intelligence in medical imaging practice: looking to the future.

Journal of medical radiation sciences Nov 10, 2019
Artificial intelligence (AI) is heralded as the most disruptive technology to health services in the 21 century. Many commentary articles published in the general public and health domains recognise that medical imaging is at the forefront of these c...
Artificial Intelligence Image Processing, Computer-Assisted Diagnostic Imaging
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Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Nov 5, 2019
Imaging flow cytometry (IFC) produces up to 12 spectrally distinct, information-rich images of single cells at a throughput of 5,000 cells per second. Yet often, cell populations are still studied using manual gating, a technique that has several dra...
Machine Learning Diagnostic Imaging Flow Cytometry Humans Leukocytes Coloring Agents
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Google maps for tissues: Multiscale imaging of biological systems and disease.

Acta physiologica (Oxford, England) Oct 16, 2019
Artificial Intelligence Diagnostic Imaging Humans Search Engine Models, Biological Disease
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DeepBranch: Deep Neural Networks for Branch Point Detection in Biomedical Images.

IEEE transactions on medical imaging Oct 7, 2019
Morphology reconstruction of tree-like structures in volumetric images, such as neurons, retinal blood vessels, and bronchi, is of fundamental interest for biomedical research. 3D branch points play an important role in many reconstruction applicatio...
Animals Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Bronchi Retinal Vessels Diagnostic Imaging Neurons Humans
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Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.

Journal of medical imaging and radiation sciences Oct 7, 2019
Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An understanding of the principles and application of radiomics, artificial neural networks, machine learning, and deep learning is an essential foundation to wea...
Deep Learning Diagnostic Imaging Machine Learning Algorithms Neural Networks, Computer Artificial Intelligence Humans
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A review of medical image detection for cancers in digestive system based on artificial intelligence.

Expert review of medical devices Sep 30, 2019
: At present, cancer imaging examination relies mainly on manual reading of doctors, which requests a high standard of doctors' professional skills, clinical experience, and concentration. However, the increasing amount of medical imaging data has br...
Image Processing, Computer-Assisted Diagnostic Imaging Digestive System Neoplasms Machine Learning Deep Learning Humans Artificial Intelligence
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