Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
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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 ...
Image reflection removal has emerged as a pivotal area in computer vision, addressing the challenge of disentangling the true scene (transmission layer) from undesired specular reflections when ...
You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
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