Results 11 to 20 of about 16,397 (244)
Flux driven automatic centerline extraction [PDF]
Medical Image Analysis, 2005 We present a fast, robust and automatic method for computing centerline paths through tubular structures for application to virtual endoscopy. The key idea is to utilize a skeletonization algorithm which exploits properties of the average outward flux of the gradient vector field of a Euclidean distance function from the boundary of the structure.
Sylvain, Bouix +2 more
openaire +2 more sources
Frontiers in Neuroscience, 2020 We present DeepVesselNet, an architecture tailored to the challenges faced when extracting vessel trees and networks and corresponding features in 3-D angiographic volumes using deep learning.
Giles Tetteh +10 more
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Analysis of the effect of bore centerline on projectile exit conditions in small arms
Defence Technology, 2022 Most finite element models of small arms focus on an idealized barrel, typically one with a perfectly straight bore centerline. Using five different experimentally measured bore centerlines, this investigation analyzes the effect centerline nonlinearity ...
David Leonhardt +2 more
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Remote Sensing, 2021 The Yellow River (YR) covers three climatic zones including arid region, semi-arid region and temperate monsoon region, with frequent appearance of flow intermittence in the Lower Yellow River (LYR) before 1999.
Junqiang Xia +5 more
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Centerline and blockstructure for fast structured mesh generation
Current Directions in Biomedical Engineering, 2022 In contrast to unstructured meshes, structured meshes yield faster simulation results for bio-medical simulations, but are very time-consuming to create.
Niemann Annika +4 more
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Automatic Extraction of Railroad Centerlines from Mobile Laser Scanning Data
Remote Sensing, 2015 In this paper, we describe the automatic extraction of centerlines of railroads. Mobile Laser Scanning systems are able to capture the 3D environment of the rail tracks with a high level of detail.
Sander Oude Elberink, Kourosh Khoshelham
doaj +1 more source
Indoor Reconstruction from Floorplan Images with a Deep Learning Approach
ISPRS International Journal of Geo-Information, 2020 Although interest in indoor space modeling is increasing, the quantity of indoor spatial data available is currently very scarce compared to its demand.
Hanme Jang, Kiyun Yu, JongHyeon Yang
doaj +1 more source
MSC-Net: Multitask Learning Network for Retinal Vessel Segmentation and Centerline Extraction
Applied Sciences, 2021 Automatic segmentation and centerline extraction of blood vessels from retinal fundus images is an essential step to measure the state of retinal blood vessels and achieve the goal of auxiliary diagnosis.
Lin Pan +3 more
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Semi-Supervised Cerebrovascular Segmentation by Hierarchical Convolutional Neural Network
IEEE Access, 2018 Due to the tortuosity and the complexity of cerebral vasculature and the similar intensity distribution with the background, it remains challenging to accurately segment cerebral vessels from magnetic resonance angiography (MRA).
Fengjun Zhao +8 more
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Buildings, 2022 Field productivity of building trades is the focus of prefabricated construction practitioners as a path to greater profitability and competitiveness in the marketplace.
Andrew Rener +2 more
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