Keywords: ویژگی های بافت; Texture features; Induced pluripotent stem cells; Machine learning; Colony region; Regression;
مقالات ISI ویژگی های بافت (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: ویژگی های بافت; Breast cancer risk; Digital mammography; Texture features; Quantitative image feature analysis based risk prediction models; Analysis of ipsilateral view mammograms;
Keywords: ویژگی های بافت; Informal settlements; Texture features; Gray level co-occurrence matrix; Local directional pattern; Classification;
Keywords: ویژگی های بافت; Intelligent tobacco curing; Optical imaging; Color features; Texture features; Artificial neural network; Tobacco leaves shrinking;
Keywords: ویژگی های بافت; Acute leukemia; Texture features; Color features; Geometric features; Genetic algorithm; SVM;
Keywords: ویژگی های بافت; Optical coherence microscopy; Tissue classification; Texture features; Local binary patterns;
Keywords: ویژگی های بافت; Psoriasis; Bayesian segmentation; Color features; Texture features; Machine learning; Performance evaluation;
Keywords: ویژگی های بافت; Texture features; Angle histograms; Color moments; Gabor filters; Feature fusion; Spiking neural networks
Keywords: ویژگی های بافت; Surface-type classification; RGB-D; Likelihood; Texture features;
Keywords: ویژگی های بافت; Dermatology; Psoriasis skin disease; Color features; Texture features; Machine learning; Multiclass
Keywords: ویژگی های بافت; Breast ultrasound; Automatic segmentation; Texture analysis; Log-Gabor filters; Texture features;
Keywords: ویژگی های بافت; Wood; Defects detection; Texture features; GLCM; Tamura texture
Keywords: ویژگی های بافت; Butterfly identification; Local binary patterns; Texture features; Artificial neural network;
Keywords: ویژگی های بافت; Steatosis quantification; Histological image analysis; Shape features; Texture features
Keywords: ویژگی های بافت; Texture features; Color features; Texture classification; Image classification
Keywords: ویژگی های بافت; Rock classification; Lithological classification; Grindability estimation; Gabor feature extraction; Texture features; Feature selection
Keywords: ویژگی های بافت; Cornea; Confocal microscopy; Artificial neural network; Adaptive neuro fuzzy inference system; Texture features; Image classification
Keywords: ویژگی های بافت; Rotational thermography; Cold challenge; Texture features; Support vector machine; Principal component analysis; Localization of abnormality
Keywords: ویژگی های بافت; Aneurysm; EVAR; Endotension; Texture features; Ensembles of classifiers
Keywords: ویژگی های بافت; Color feature; Texture features; Genetic algorithms; Feature selection; Support vector machine
Keywords: ویژگی های بافت; Breast ultrasound; Speckle filtering; Anisotropic diffusion; Log-Gabor filters; Texture features;
Keywords: ویژگی های بافت; Gaussian–Markov random field; Texture features; Rotational invariance; Texture classification
Keywords: ویژگی های بافت; Classification; Color features; Texture features; Higher order spectra features; Psoriasis skin disease; Reliability
Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study
Keywords: ویژگی های بافت; Brain MR images; Classification; Particle swarm optimization; Shearlet transform; Support vector machine; Texture features;
Improvement in the diagnosis of melanoma and dysplastic lesions by introducing ABCD-PDT features and a hybrid classifier
Keywords: ویژگی های بافت; Computer-aided diagnosis; Dysplastic lesion; Hybrid classifier; Melanoma; Pigment distribution; Texture features;
Automated quantification of ultrasonic fatty liver texture based on curvelet transform and SVD
Keywords: ویژگی های بافت; Fatty liver; Curvelet transform; SVD; Texture features; SVM; Computer aided diagnosis;
Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder
Keywords: ویژگی های بافت; Deep learning; Stacked sparse autoencoder; Gleason grade; Texture features; Prostate cancer; Multiparametric MRI;
Automatic tumor segmentation in single-spectral MRI using a texture-based and contour-based algorithm
Keywords: ویژگی های بافت; MR Imaging; Tumor lesion segmentation; Texture features; Regularized winnow; Skippy greedy snake;
Hyperspectral imaging analysis for ripeness evaluation of strawberry with support vector machine
Keywords: ویژگی های بافت; Hyperspectral imaging; Strawberry; Ripeness classification; Texture features; Data fusion
Content-based image retrieval using H.264 intra coding features
Keywords: ویژگی های بافت; Content-based image/video retrieval; H.264; Intra prediction; Video coding; Compression domain; Geometrical verification; Image search; Texture features
Liver fibrosis staging using CT image texture analysis and soft computing
Keywords: ویژگی های بافت; Liver fibrosis staging; Texture features; Feature selection; k-Nearest neighbor; Support Vector Machines;
Glaucoma classification based on visual pathway analysis using diffusion tensor imaging
Keywords: ویژگی های بافت; DTI, Diffusion Tensor Imaging; POAG, Primary Open Angle Glaucoma; NTG, Normal Tension GlaucomaDiffusion tensor imaging; Glaucoma; Optic radiation; Visual pathway; Classification; Texture features
Separable and non-separable discrete wavelet transform based texture features and image classification of breast thermograms
Keywords: ویژگی های بافت; Discrete Wavelet Transform; Texture Features; Image Classification; Principle Component Analysis; Breast Thermograms
Image classification with binary gradient contours
Keywords: ویژگی های بافت; Texture features; BGC; LBP
Off-line signature verification based on grey level information using texture features
Keywords: ویژگی های بافت; Off-line handwritten signature verification; Pattern recognition; Grey level information; Texture features; Co-occurrence matrix; Local binary pattern; LS-SVM
Multi-class supervised classification of electrical borehole wall images using texture features
Keywords: ویژگی های بافت; Lithology reconstruction; Micro-resistivity data; Discriminant analysis; Texture features; Multi-class classification; Binary classifier
Development and testing of a statistical texture model for land cover classification of the Black Sea region with MODIS imagery
Keywords: ویژگی های بافت; Texture analysis; Texture features; Land cover texture classification; Satellite images; Remote sensing
Texture feature extraction based on a uniformity estimation method for local brightness and structure in chest CT images
Keywords: ویژگی های بافت; Texture features; SGLDM; ELBP; CAD system; Emphysema; CT images
Texture analysis for ulcer detection in capsule endoscopy images
Keywords: ویژگی های بافت; Capsule endoscopy image; Texture features; Curvelet transform; Local binary pattern; Neural network; Support vector machines
Recycled paper visual indexing for quality control
Keywords: ویژگی های بافت; Gabor filter banks; Texture features; Discrete wavelet transform; Quality control; Classification
Automatic joint classification and segmentation of whole cell 3D images
Keywords: ویژگی های بافت; Mitochondria; Texture features; Segmentation; Classification; Automated techniques; Machine learning; Cancer detection
Wavelet based co-occurrence histogram features for texture classification with an application to script identification in a document image
Keywords: ویژگی های بافت; Wavelet transform; Texture features; Texture classification; Script identification; Document image; Gabor filters
Application of artificial neural network for detecting Phalaenopsis seedling diseases using color and texture features
Keywords: ویژگی های بافت; Phalaenopsis seedling diseases; Image processing; Neural network; The adjustable exponential transform (AET); Texture features; Color features
Classification of lamb carcass using machine vision: Comparison of statistical and neural network analyses
Keywords: ویژگی های بافت; Computer vision; Machine vision; Image analysis; Texture features; Lamb grading; Meat quality; Artificial neural networks; Co-occurrence matrix; Run length matrix; Grey-level difference histogram
Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers
Keywords: ویژگی های بافت; Liver CT images; Computer-aided diagnosis; Texture features; Ensembles of classifiers; Genetic algorithms; Bootstrap; Feature selection
Fusion of multi-spectral and panchromatic images using fuzzy rule
Keywords: ویژگی های بافت; 42.30.Va; 93.30.Db; 95.75.RsMulti-spectral; Texture features; Fractal; Fuzzy
Quantitative image analysis in sonograms of the thyroid gland
Keywords: ویژگی های بافت; 87.57.Nk; 87.63.DfUltrasound; Thyroid; Co-occurrence matrix; Texture features
Prediction of lamb carcass grades using features extracted from lamb chop images
Keywords: ویژگی های بافت; Image analysis; Texture features; Co-occurrence matrix; Lamb grading; Computer vision; Discriminant function analysis
Segmentation of kidney from ultrasound B-mode images with texture-based classification
Keywords: ویژگی های بافت; Boundary extraction; Texture features; Classification; Dynamic programming; Ultrasound images
Identification of citrus disease using color texture features and discriminant analysis
Keywords: ویژگی های بافت; Citrus; Discriminant classifier; Disease detection; Machine vision; Texture features