(A) Left: The sharp image (ground truth) and the motion blur kernel used. Right: The noise-corrupted input images and the deblurred outputs. (B) Projection of the data onto the 2D space formed by the ...
Recent advances in microscopy have been profoundly influenced by the integration of deep learning techniques, heralding a new era in imaging science. This interdisciplinary field combines innovative ...
In a recent study published in the journal npj Precision Oncology, researchers conducted a systematic review to examine the accuracy of deep learning (DL) in diagnosing breast cancer using ultrasound ...
MoGLo-Net tracks the motion of the ultrasound transducer using tissue speckle data without the need for external sensors, creating a clear 3D ultrasound volume for accurate visualization of bodily ...
Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...
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