Blood vessel segmentation in color fundus images based on regional and Hessian features
Sign Up to like & getrecommendations! Published in 2017 at "Graefe's Archive for Clinical and Experimental Ophthalmology"
DOI: 10.1007/s00417-017-3677-y
Abstract: PurposeTo propose a new algorithm of blood vessel segmentation based on regional and Hessian features for image analysis in retinal abnormality diagnosis.MethodsFirstly, color fundus images from the publicly available database DRIVE were converted from RGB… read more here.
Keywords: fundus images; vessel segmentation; color fundus; hessian features ... See more keywords
Stability optimization of grid shells based on regional sensitivity differences
Sign Up to like & getrecommendations! Published in 2020 at "Mechanics of Advanced Materials and Structures"
DOI: 10.1080/15376494.2020.1860274
Abstract: To improve the reliability of the stability and bearing capacity of grid shells, we proposed a novel sequential two-level stochastic optimization based on the regional sensitivity difference (SRSD)... read more here.
Keywords: grid shells; regional sensitivity; optimization; based regional ... See more keywords
An Adaptive Multiscale Fusion Network Based on Regional Attention for Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3000425
Abstract: With the widespread application of semantic segmentation in remote sensing images with high-resolution, how to improve the accuracy of segmentation becomes a research goal in the remote sensing field. An innovative Fully Convolutional Network (FCN)… read more here.
Keywords: regional attention; remote sensing; segmentation; sensing images ... See more keywords
A Machine Learning-Based Regional Hybrid Model for Remote Retrieving Turbidity From Landsat Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3115986
Abstract: Turbidity [nephelometric turbidity unit (NTU)] monitoring is of great interest to water quality stakeholders. Traditional monitoring programs are limited in time and space, are expensive, and do not reflect the true extent of NTU. In… read more here.
Keywords: based regional; turbidity; machine learning; model ... See more keywords
A 3S-based Regional Terrestrial Carbon Cycle Model in Luanhe Basin, China
Sign Up to like & getrecommendations! Published in 2023 at "Polish Journal of Environmental Studies"
DOI: 10.15244/pjoes/163501
Abstract: For a comprehensive response to climate change and low carbon development mode, the 3S-based regional terrestrial carbon cycle model in Luanhe basin is constructed in accordance with component-based development strategy to identify carbon cycle evolution… read more here.
Keywords: luanhe basin; carbon; carbon cycle; based regional ... See more keywords