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Medical imaging strategies [PDF]
Journal of Digital Imaging, 1988 Computed tomography (CT), intravenous digital subtraction angiography (IV-DSA), digital radiographic image processing and dual energy subtraction are four examples of medical imaging strategies that have met with various degrees of success as judged by diagnostic performance.
Robert Krüger
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The Environmental Impact of Medical Imaging Agents and the Roadmap to Sustainable Medical Imaging [PDF]
Advanced ScienceMedical imaging agents, i.e., contrast agents for magnetic resonance imaging (MRI) and radiopharmaceuticals, play a vital role in the diagnosis of diseases.
Verena Pichler +5 more
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Causality matters in medical imaging [PDF]
Nature Communications, 2020 Scarcity of high-quality annotated data and mismatch between the development dataset and the target environment are two of the main challenges in developing predictive tools from medical imaging. In this Perspective, the authors show how causal reasoning
Daniel C. Castro +2 more
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Deep Learning in Medical Imaging [PDF]
Neurospine, 2019 The artificial neural network (ANN), one of the machine learning (ML) algorithms, inspired by the human brain system, was developed by connecting layers with artificial neurons. However, due to the low computing power and insufficient learnable data, ANN
Mingyu Kim +6 more
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The “Gatekeepers” of Medical Imaging [PDF]
Indian Journal of Radiology and ImagingShyamkumar N. Keshava, Binit Sureka
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Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review [PDF]
Journal of Imaging, 2023 Deep learning has become a popular tool for medical image analysis, but the limited availability of training data remains a major challenge, particularly in the medical field where data acquisition can be costly and subject to privacy regulations.
Aghiles Kebaili +2 more
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A Review of Uncertainty Estimation and its Application in Medical Imaging [PDF]
Meta-Radiology, 2023 The use of AI systems in healthcare for the early screening of diseases is of great clinical importance. Deep learning has shown great promise in medical imaging, but the reliability and trustworthiness of AI systems limit their deployment in real ...
K. Zou +5 more
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Implicit Neural Representation in Medical Imaging: A Comparative Survey [PDF]
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023 Implicit neural representations (INRs) have gained prominence as a powerful paradigm in scene reconstruction and computer graphics, demonstrating remarkable results. By utilizing neural networks to parameterize data through implicit continuous functions,
Amir Molaei +6 more
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Guideline for imaging diagnosis of novel coronavirus (2019-ncov) infected pneumonia (1st edition 2020) [PDF]
Yixue xinzhi zazhi, 2020 Without the.
People's medical publishing House +10 more
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