Keywords: تجزیه زخم; Partial volume; Multiple sclerosis; MRI; Lesion segmentation;
مقالات ISI تجزیه زخم (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: تجزیه زخم; Level set; Lesion segmentation; Intensity inhomogeneity; MRI;
Keywords: تجزیه زخم; Lesion segmentation; Level set; Isoperimetric constraint; Compact shapes; Blurred or/and partially missing boundaries;
Keywords: تجزیه زخم; Binarization; Brain MRI; Level set; Multiple sclerosis; Lesion segmentation; Normal tissues; Performance evaluation;
Keywords: تجزیه زخم; Stroke; Lesion segmentation; Semi-automated; Lesion–behaviour mapping analyses; SPM toolbox
Keywords: تجزیه زخم; Lesion segmentation; Diffusion-weighted imaging; Stroke; Zeta score; Magnetic resonance imaging; Occipital lobe; Lesion-mapping
Multiple sclerosis exploration based on automatic MRI modalities segmentation approach with advanced volumetric evaluations for essential feature extraction
Keywords: تجزیه زخم; MRI; magnetic resonance imaging; MS; multiple sclerosis; GLCM; gray-level co-occurrence matrix; GLRL; gray-level run length matrix; SVM; support vector machine; GA; genetic algorithm; FLAIR; fluid attenuated inversion recovery; T1w; T1-weighted; T2w; T2-w
MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting
Keywords: تجزیه زخم; Lesion segmentation; MRI; Brain; Patch-Based; Neural network; Ensemble;
An energy minimization method for MS lesion segmentation from T1-w and FLAIR images
Keywords: تجزیه زخم; Multichannel MR images; Multiple sclerosis lesion; Lesion segmentation; Bias field estimation; Multiplicative intrinsic component optimization (MICO);
Adaptive local window for level set segmentation of CT and MRI liver lesions
Keywords: تجزیه زخم; Adaptive local window; Deformable models; Lesion segmentation;
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images
Keywords: تجزیه زخم; Magnetic resonance; Brain imaging; Lesion segmentation; Intensity model; Stratified mixture model; Robust estimation;
An active learning approach for stroke lesion segmentation on multimodal MRI data
Keywords: تجزیه زخم; Stroke; Lesion segmentation; Multimodal MRI; Active learning; Random forests
Automated delineation of stroke lesions using brain CT images
Keywords: تجزیه زخم; Stroke; Computerized tomography; Lesion segmentation; Medical imaging; Software tool
Non-locally regularized segmentation of multiple sclerosis lesion from multi-channel MRI data
Keywords: تجزیه زخم; Multi-channel MR images; Lesion segmentation; Energy minimization; Bias field estimation; Nonlocal means
Breast cancer detection from MR images through an auto-probing discrete Fourier transform system
Keywords: تجزیه زخم; Breast cancer detection; Magnetic resonance imaging; Discrete fourier transform; Lesion segmentation
Automatic multiple sclerosis lesion detection in brain MRI by FLAIR thresholding
Keywords: تجزیه زخم; Multiple sclerosis; Lesion segmentation; MRI
OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI
Keywords: تجزیه زخم; Multiple sclerosis; MRI; Brain; Lesion segmentation; Statistical modeling; Logistic regression
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis
Keywords: تجزیه زخم; Lesion segmentation; FLAIR; Multiple Sclerosis; Voxel-based morphometry;
A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions
Keywords: تجزیه زخم; Lesion segmentation; Multiple sclerosis; Topology; Fuzzy segmentation;
Texture-based segmentation of diffuse lesions of the brain's white matter
Keywords: تجزیه زخم; White matter; Lesion segmentation; MRI; Texture; Aging;
Improved Lesion Detection in MR Mammography
Keywords: تجزیه زخم; MR mammogram; lesion segmentation; nMITR-entropy; quantitative diagnosis;