Guest Editorial Artificial Intelligence-Driven Biomedical Imaging Systems for Precision Diagnostic Applications.
IEEE J. Biomed. Health Informatics（2024）
摘要
Recent advances in Artificial Intelligence (AI) have revolutionized the area of biomedical imaging, providing unprecedented prospects for precision diagnoses. This special issue offers an overview of the integration of AI into biomedical imaging systems and its tremendous impact on improving diagnostic accuracy and efficiency. The combination of AI and biomedical imaging has resulted in intelligent systems capable of deciphering complex medical pictures with amazing precision. Deep learning algorithms, particularly convolutional neural networks (CNNs), have shown exceptional capabilities in recognising patterns and extracting meaningful information from a variety of imaging modalities, including magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) [1].
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关键词
Medical Imaging,Guest Editorial,Biomedical Imaging Systems,Breast Cancer,Magnetic Resonance Imaging,Computed Tomography,Deep Learning,Convolutional Neural Network,Random Forest,Positron Emission Tomography,End-users,Additive Noise,Data Augmentation,Transfer Learning,New Technologies,Deep Convolutional Neural Network,Generative Adversarial Networks,Convolutional Neural Network Model,Gaussian Process,Magnetic Resonance Imaging Images
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