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Artificial Intelligence-Driven Biomedical Imaging Systems for Precision Diagnostic Applications
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DOI：10.1109/JBHI.2024.3360759.png)
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Abstract
En 中文
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].
Keywords:
Special issues and sections
Artificial intelligence
Biomedical imaging
Medical diagnostic imaging
Precision medicine
Journal
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