AN AUTOMATED RECTIFICATION METHOD FOR UNMANNED AERIAL VEHICLE LIDAR POINT CLOUD DATA BASED ON LASER INTENSITY

An Automated Rectification Method for Unmanned Aerial Vehicle LiDAR Point Cloud Data Based on Laser Intensity

Point cloud rectification is an efficient approach to improve the quality of laser point cloud data.Conventional rectification methods mostly relied on ground control points (GCPs), typical artificial ground objects, and raw measurements of the laser scanner which impede automation and adaptability in practice.This paper proposed an automated recti

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Obsessive compulsive disorder networks: positron emission tomography and neuropsychology provide new insights.

BackgroundDeep brain stimulation has shed new light on the central role of the prefrontal cortex (PFC) in obsessive compulsive disorder (OCD).We explored this structure from a functional perspective, synchronizing neuroimaging and cognitive measures.Methods and findingsThis case-control cross-sectional study compared 15 OCD patients without Spring-

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SDF-1 expression and tumor-infiltrating lymphocytes identify clinical subtypes of triple-negative breast cancer with different responses to neoadjuvant chemotherapy and survival

BackgroundIn this study, we investigated the prediction and prognostic value of SDF-1 for triple-negative breast cancer (TNBC) patients who underwent neoadjuvant chemotherapy (NAC) following standard radical surgery.MethodsA total of 303 TNBC patients were included in this study.The NAC regimen was weekly paclitaxel plus carboplatin (PC) for all pa

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