Cataracts remain a leading cause of visual impairment worldwide, necessitating prompt and accurate diagnosis to avert irreversible blindness. In recent years, deep learning has emerged as a ...
An international research team has developed a novel PV fault detection method based on deep learning of aerial images. The proposed methodology utilizes the convolutional neural network (CNN) ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
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Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
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