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Titlebook: Data Driven Approaches on Medical Imaging; Bin Zheng,Stefan Andrei,Kishor Datta Gupta Book 2023 The Editor(s) (if applicable) and The Auth

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發(fā)表于 2025-3-23 13:05:00 | 只看該作者
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發(fā)表于 2025-3-23 14:54:38 | 只看該作者
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發(fā)表于 2025-3-23 18:07:43 | 只看該作者
Bin Zheng,Stefan Andrei,Kishor Datta Guptaliterature review and theoretical concept of computer vision, and challenges in medical imaging.a description of current technologies about different medical imaging system.highlight challenges in dev
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發(fā)表于 2025-3-24 01:43:34 | 只看該作者
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發(fā)表于 2025-3-24 04:47:46 | 只看該作者
https://doi.org/10.1007/978-3-031-34579-1-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Nuclear Imaging, Ultrasound, Electrical Impedance Tomography (EIT), and Emerging Technologies for in vivo imaging are widely used in today’s healthcare throughout the world. A review of medical imaging modalities is presented in this
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發(fā)表于 2025-3-24 13:53:08 | 只看該作者
https://doi.org/10.1007/978-3-031-07357-1 medical imaging field can significantly improve in terms of the speed and accuracy of the diagnostic process. Computed tomography (CT), magnetic resonance imaging (MRI), X-ray imaging, ultrasound imaging, and positron emission tomography (PET) are the most commonly used types of imaging data in the
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發(fā)表于 2025-3-24 15:34:26 | 只看該作者
https://doi.org/10.1007/978-3-031-07357-1es from unstructured data. Though this flourishing context is developing in the medical image processing sector, scarcity of problem-dependent training data has become a larger issue in the way of easy application of deep learning in the medical sector. To unravel the confined data source, researche
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發(fā)表于 2025-3-24 20:34:03 | 只看該作者
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發(fā)表于 2025-3-25 00:34:21 | 只看該作者
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