REDUCING MOTION BLUR IN GHOST IMAGING VIA THE HESSIAN MATRIX

Reducing Motion Blur in Ghost Imaging Via the Hessian Matrix

Different from conventional imaging, ghost imaging (GI) is an indirect modality of imaging that needs multiple Massage Oils measurements of the second-order correlation of data collected from two detectors.In some particular cases, the exposure time of two detectors or the rotation speed of the ground glass may not meet the need of experimental con

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Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasis

Abstract Background Machine Learning (ML) plays a crucial role in biomedical research.Nevertheless, it still has limitations in data integration and irreproducibility.To address these challenges, robust methods are needed.Pancreatic ductal adenocarcinoma (PDAC), a highly aggressive cancer with low early detection rates and survival rates, is used a

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