„segmentation“
Suchergebnisse
1.000+ Treffer
-
Stride segmentation during free walk movements using multi-dimensional subsequence dynamic time warping on inertial sensor data
-
Validating a window view simulation engine based on open data and open source using semantic segmentation
-
A balanced hybrid cuckoo search algorithm for microscopic image segmentation
-
Improved Automatic Segmentation of White Matter Hyperintensities in MRI Based on Multilevel Lesion Features
-
Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach
-
A Novel Segmentation Approach for Intravascular Ultrasound Images
-
Generalizing cell segmentation and quantification
-
Soft tissue coverage on the segmentation accuracy of the 3D surface-rendered model from cone-beam CT
-
Semantic segmentation of real-time sensor data stream for complex activity recognition
-
Integrating Compact Constraint and Distance Regularization with Level Set for Hepatocellular Carcinoma (HCC) Segmentation on Computed Tomography (CT) Images
-
Improved accuracy of superpixel segmentation by region merging method
-
A joint intensity and edge magnitude-based multilevel thresholding algorithm for the automatic segmentation of pathological MR brain images
-
Malleable Fuzzy Local Median C Means Algorithm for Effective Biomedical Image Segmentation
-
Human mimic color perception for segmentation of color images using a three-layered self-organizing map previously trained to classify color chromaticity
-
Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties
-
Survey statistics of automated segmentations applied to optical imaging of mammalian cells
-
Global synchronization of neural networks with hybrid coupling: a delay interval segmentation approach
-
“Same-Patient Processing” for multiple cardiac SPECT studies. 1. Improving LV segmentation accuracy
-
A multi-scale attention-based Swin transformer model for medical images segmentation
-
Automated segmentation of the fibula from CT imaging using two-stepped deep learning in 3D U-Net architectures