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"element model algorithm" » "element novel algorithm" (Expand Search), "element forest algorithm" (Expand Search)
"element ml algorithms" » "element _ algorithms" (Expand Search), "element _ algorithm" (Expand Search), "element te algorithms" (Expand Search), "element g algorithms" (Expand Search)
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261
DataSheet1_Exploration and Petrogenesis of Corundum-Bearing Pegmatites: A Case Study in Migif-Hafafit Area, Egypt.docx
Published 2022“…False-color composite (FCCs), band ratio (BR), principal component analysis (PCA), minimum noise fraction (MNF), decorrelation stretch (DS), and the constrained energy minimization (CEM) image processing algorithms were proposed and applied on Landsat-8 OLI, and Sentinel-2A data to discriminate the exposed lithological units and to detect the corundum-bearing pegmatites in the study area. …”
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262
Supplementary Material for: Does Perfusion Computed Tomography Facilitate Clinical Decision Making for Thrombolysis in Unselected Acute Patients with Suspected Ischaemic Stroke?
Published 2011“…Inter-observer agreement was calculated using the ĸ statistic for identifying acute ischaemic change on NCCT: perfusion abnormalities (namely cerebral blood volume, cerebral blood flow and time to peak), and penumbral tissue on perfusion maps obtained by two image processing algorithms. <i>Results:</i> Inter-rater agreement was moderate (ĸ = 0.54) for early ischaemic change on NCCT. …”
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263
A Semi-Automatic Method to Extract Canal Pathways in 3D Micro-CT Images of Octocorals
Published 2014“…Our aim was to evaluate the feasibility of the whole process, to point out and solve – if possible – technical problems related to the specimen conditioning, to determine the best acquisition parameters and to develop necessary image-processing algorithms. The pathways extracted are expected to facilitate the structural analysis of the colonies, namely to help observing the distribution, formation and number of canals along the colony. …”
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264
Table_1_CropQuant-Air: an AI-powered system to enable phenotypic analysis of yield- and performance-related traits using wheat canopy imagery collected by low-cost drones.docx
Published 2023“…Here, we present CropQuant-Air, an AI-powered software system that combines state-of-the-art deep learning (DL) models and image processing algorithms to enable the detection of wheat spikes and phenotypic analysis using wheat canopy images acquired by low-cost drones. …”
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265
Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples
Published 2025“…Phase contrast microscopy (Zeiss, 10X objective) was employed to capture high-resolution images. Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …”
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266
Image_1_Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automat...
Published 2022“…</p>Conclusion<p>Integration of image processing algorithms for tumor auto-segmentation and feature extraction into PACS allows curation of large datasets of annotated medical images and can accelerate translation of research into development of personalized medicine applications in the clinic. …”
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267
Supplementary Material for: How Much Do Focal Infarcts Distort White Matter Lesions and Global Cerebral Atrophy Measures?
Published 2012“…Such stroke lesions can have similar signals to WML and cerebrospinal fluid (CSF) on magnetic resonance (MR) images, and may be classified accidentally as WML or CSF by MR image processing algorithms, distorting WML and brain atrophy volume from the true volume. …”
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268
IPOL: Image Processing On Line
Published 2013“…The goal of IPOL is to provide reference implementations for classical and new image processing algorithms.<br>IPOL is not a prototype, in fact it’s been running since 2011.…”