Estimation and evaluation of pseudo-CT images using linear regression models and texture feature extraction from MRI images in the brain region to design external radiotherapy planning. [PDF]
Rep Pract Oncol Radiother, 2020 Yousefi Moteghaed N +4 more
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The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis. [PDF]
Front Oncol, 2018 Gu J +6 more
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An Automatic Bone Disorder Classification Using Hybrid Texture Feature Extraction with Bone Mineral Density [PDF]
Asian Pac J Cancer Prev, 2018 S R, R M.
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Efficacy of Quantitative Muscle Ultrasound Using Texture-Feature Parametric Imaging in Detecting Pompe Disease in Children. [PDF]
Entropy (Basel), 2019 Chiou HJ, Yeh CK, Hwang HE, Liao YY.
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Texture Feature Variability in Ultrasound Video of the Atherosclerotic Carotid Plaque. [PDF]
IEEE J Transl Eng Health Med, 2017 Loizou CP +4 more
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Texture Browser: Feature‐based Texture Exploration
Computer Graphics Forum, 2021AbstractTexture is a key characteristic in the definition of the physical appearance of an object and a crucial element in the creation process of 3D artists. However, retrieving a texture that matches an intended look from an image collection is difficult.
Xuejiao Luo +2 more
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Textural features corresponding to textural properties
IEEE Transactions on Systems, Man, and Cybernetics, 1989Five properties of texture, namely, coarseness, contrast, business, complexity, and texture strength, are given conceptual definitions in terms of spatial changes in intensity. These conceptual definitions are then approximated in computational forms.
M. Amadasun, R. King
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Texture features based on texture spectrum
Pattern Recognition, 1991Abstract Texture is an important spatial feature useful for identifying objects or regions of interest in an image. This paper presents a new set of textural measures derived from the texture spectrum. The proposed features extract textural information of an image with a more complete respect of texture characteristics (in all the eight directions ...
Dong-Chen He, Li Wang
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MORPHOLOGICAL TEXTURAL FEATURES
Particulate Science and Technology, 1989ABSTRACT This paper describes the statistical and mathematical models for the gray level surface. Morphological Textural Features (MTFs) derived from the models are invariants. They include: • Bessel-Fourier Coefficients • Measurments of Gray Level Distributions • Rotational Symmetry • Translational Symmetry • Coarseness • Contrast • Roughness ...
N. B. HSYUNG +2 more
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