Results 81 to 90 of about 112,589 (145)
Systems oncology : towards patient-specific treatment regimes informed by multiscale mathematical modelling [PDF]
, 2014 The multiscale complexity of cancer as a disease necessitates a corresponding multiscale modelling approach to produce truly predictive mathematical models capable of improving existing treatment protocols.
Gibin Powathil +3 more
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The Scientific World Journal, 2015 Very high resolution (VHR) image change detection is challenging due to the low discriminative ability of change feature and the difficulty of change decision in utilizing the multilevel contextual information.
Yuan Xu +5 more
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Selection of Grid Road Networks Based on Raster Data
Applied SciencesIn cartography, generalization is a key process used to simplify complex geographic information, making it suitable for display at different scales while maintaining its essential meaning.
Yilang Shen, Yiqing Zhang, Renzhu Li
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DSDGNet: Dual-Scale Dynamic Graph Network for Hyperspectral Image Change Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral image (HSI) change detection (CD) aims to identify land-cover and land-use changes from bitemporal hyperspectral observations. Although convolutional neural networks (CNNs) have achieved remarkable success in HSI-CD, and graph convolutional
Lifeng Yu +3 more
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Epithelium and stroma segmentation using multiscale superpixel clustering.
, 2018 Introduction: Accurate image segmentation is essential in quantitative histopathology although challenging due to tissue complexity, heterogeneity and the uncertainty of scene contents.
Landini, Gabriel +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingBy focusing on the structure exploration and information propagation from non-Euclidean data space, graph convolutional neural network (GCN), which can extract abundant and discriminative features, has been a valuable topic in polarimetric synthetic ...
Ze-Chen Li +4 more
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Superpixel-Guided Matrix-Valued Kernel Functions for Multiscale Nonlinear Hyperspectral Unmixing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral unmixing is a critical challenge in the analysis of hyperspectral remote sensing data. Due to the complex interactions between incident light and materials, which are significantly influenced by the three-dimensional geometry of the scene ...
Xiu Zhao, Meiping Song
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Automatic psoriasis lesion segmentation in two-dimensional skin images using multiscale superpixel clustering. [PDF]
J Med Imaging (Bellingham), 2017 George Y, Aldeen M, Garnavi R.
europepmc +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral image (HSI) classification plays a crucial role in remote sensing applications, leveraging the rich spectral and spatial information inherent in HSI.
Tingting Wang, Yao Sun, Yunfeng Hu
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Multiphase material modelling by multiscale particle-in-cell method
, 2008 A particle-based method for multiscale modeling of multiphase materials such as Dual Phase (DP) and Transformation Induced Plasticity (TRIP) steels has been developed.
Rolfe, Bernard F. +3 more
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