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Overview of deep learning in medical imaging - PubMed

    https://pubmed.ncbi.nlm.nih.gov/28689314/
    In this paper, the area of deep learning in medical imaging is overviewed, including (1) what was changed in machine learning before and after the introduction of deep learning, (2) what is the source of the power of deep learning, (3) two major deep-learning models: a …

Medical image analysis based on deep learning approach

    https://link.springer.com/article/10.1007/s11042-021-10707-4
    Medical imaging plays a significant role in different clinical applications such as medical procedures used for early detection, monitoring, diagnosis, and treatment …

Artificial intelligence with deep learning in nuclear medicine and ...

    https://ejnmmiphys.springeropen.com/articles/10.1186/s40658-021-00426-y
    Schematic of a fully connected neural network. \({left}:\) An artificial neuron or perceptron, where the output y is calculated as a sum of weighted inputs \({x} …

Medical image analysis with artificial neural networks

    https://www.sciencedirect.com/science/article/abs/pii/S0895611110000741
    Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural …

Medical image analysis with artificial neural networks

    https://pubmed.ncbi.nlm.nih.gov/20713305/
    Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network …

Cloud-based medical imaging reconstruction using deep …

    https://aws.amazon.com/blogs/machine-learning/cloud-based-medical-imaging-reconstruction-using-deep-neural-networks/
    Medical imaging techniques like computed tomography (CT), magnetic resonance imaging (MRI), medical x-ray imaging, ultrasound imaging, and others are …

Artificial intelligence enhances MRI scans …

    https://www.nih.gov/news-events/nih-research-matters/artificial-intelligence-enhances-mri-scans
    Doctors rely on the results of MRI scans and other imaging tests to view inside a patient’s body. These pictures can help doctors find abnormal tissue. MRI scanners use radio waves and a strong …

Neural Network Techniques in Medical Image Processing

    https://link.springer.com/chapter/10.1007/978-981-15-1275-9_38
    Abstract. The paper is a critical review of the uses of neural network in medical imaging process. First, a thorough review of machine-learning-based artificial …

Artificial neural networks in medical …

    https://www.researchgate.net/publication/228604205_Artificial_neural_networks_in_medical_imaging_systems
    The aim of this paper is to provide a snapshot of the application of neural network systems in medical imaging. A few selected case studies are presented, covering the application of …

Reconstruction: CT Imaging – CAMCA

    https://camca.mgh.harvard.edu/research/medical-image-reconstruction/ct-imaging/
    Iterative Low-dose CT Reconstruction with Priors Trained by Artificial Neural Network. A novel iterative reconstruction method combined with deep learning was proposed for low …



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