Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...
A new artificial intelligence approach combines deep learning with physical modeling to extract detailed aerosol properties from complex satellite observations. By learning how light intensity and ...
Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
aDepartment of Medical Ultrasonics, Affiliated Shenzhen Children's Hospital, College of Medicine, Shantou University, No. 7019 Yitian Road, Shenzhen, China bShenzhen University Medical School, ...
With what appears to be an extra finger on his right hand and no actual arrow in his bow, the man featured in the Department of Energy and Environmental Protection‘s Facebook post did not look like ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
Abstract: Template matching is an approach to locating parts of an image that are similar to a template. It is often employed in computer vision applications such as object detection, pattern ...
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