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 ...
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 ...
Hyperspectral imaging (HSI) has emerged as a pivotal non‐destructive analytical tool by capturing both spatial and spectral information of food products. This technique enables the identification and ...
Even though the Food and Drug Administration (FDA) has approved more than 200 commercial radiology AI products, substantial obstacles must be overcome before we are likely to see widespread successful ...
As one of the most widely adopted 3D sensing techniques, fringe projection profilometry (FPP) reconstructs the depth information of a scene from stereo images taken with sequential structured ...
The integration of bioinformatics and medical imaging, often referred to as radiogenomics, has emerged as a powerful and transformative approach in cancer ...
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