基于地理分级标准的偏远地区卫生人力资源优化：澳大利亚改良版蒙纳士模型及其对我国的启示

In Australia，28% of the population live in remote and rural areas，where they face many health service utilization challenges due to geographical conditions，and generally have lower health status than those living in coastal metropolitan areas. To address the challenges of accessing health services in remote and rural areas，the Australian...

Recognition of partial discharge signals in impaired datasets using cumulative energy signatures

The problem of impaired data sets refers to data sets containing a vast majority of unwanted signals than signals of interest. With increased interest in partial discharge (PD) testing with arbitrary waveforms and transients, these kind of data sets are becoming more and more common. Traditional clustering techniques cannot be applied due to big...

A hybrid segmentation method for partitioning the liver based on 4D DCE-MR images

The Couinaud classification of hepatic anatomy partitions the liver into eight functionally independent segments. Detection and segmentation of the hepatic vein (HV), portal vein (PV) and inferior vena cava (IVC) plays an important role in the subsequent delineation of the liver segments. To facilitate pharmacokinetic modeling of the liver...

Voxel-Based Extraction and Classification of 3-D Pole-Like Objects From Mobile LiDAR Point Cloud Data

The digital mapping of road environment is an important task for road infrastructure inventory and urban planning. Automatic extraction and classification of pole-like objects can remarkably reduce mapping cost and enhance work efficiency. Therefore, this paper proposes a voxel-based method that automatically extracts and classifies three...