[PDF] Top 20 Segmentation of 3D MicroPET Images Using The Mixture Method
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Segmentation of 3D MicroPET Images Using The Mixture Method
... results of ROIs are shown in Table 1. The total accuracy of GMM is ...that of K-means is 66.6%. Another simulated volume data based on the modified Shepp-Logan's head phantom image is ... See full document
6
An Efficient Segmentation Method for Remote Sensing Images Using Self-Organization Map
... With the rapid development of the internet , the e-commerce has already become one of the most important way of consumption mode so far ,so the large-scale goods ... See full document
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Automatic Segmentation of Brain MRI Images by Threshold Level Set Method
... MRI Images, Image Segmentation, Level Set Method, Active Contour Model 1 Introduction Segmentation is a technology to extract the interested features form images and it is a ... See full document
5
An Efficient Segmentation Method for Remote Sensing Images
... to the discrete Fourier transform (DFT), but using only real numbers ...DFT of roughly twice the length, operating on real data with even symmetric, where in some variants the input ... See full document
6
Contour Detection for the Breast Tumor in Ultrasonic Images Using Watershed Segmentation
... to the ultrasonic examination would not cause any side effect upon human’s ...because the low price, convenience, prevalence, and timeliness of ultrasonic scanner, the ultrasonic instruments ... See full document
20
Object Tracking via the Probability-Based Segmentation Using Laser Range Images
... probability-based segmentation approach is presented for object tracking. The proposed approach uses the Dirichlet process mixture model to describe the probabilistic distribution ... See full document
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Automatic segmentation of magnetic resonance images using a decision tree with spatial information
... automatic segmentation method using a decision tree was used in the present study to classify different tissue types in brain MR ...images. The phantom and simulated MR ... See full document
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Automatic segmentation of liver PET images
... 2.3. The Canny edge detection Canny edge method [18] is an edge detection method to gen- erate edge image by looking for local maxima of the gradient of grayscale ... See full document
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Multi-layer segmentation of complex document images
... WWW images. 17 This algorithm uses the Euclidean minimum-spanning-tree (EMST) method to cluster the R-G-B space of the input image into a number of color ...class, ... See full document
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A Method for Extracting Suspected Parotid Lesions in CT Images using Feature-based Segmentation and Active Contours based on Stationary Wavelet Transform
... Fig.12(i)., the extraction results are not seriously affected by the slight scattered ...However, the proposed method may fail if intense scattered light covers a large area of ...in ... See full document
11
Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation
... While the vitreous-NFL and IS-OS are easily identifiable due to their prominent hyper- reflectivity, the remaining layer boundaries are not as ...a method for defining a valid and narrow search ... See full document
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Segmentation of cDNA microarray images by kernel density estimation
... The segmentation of cDNA microarray spots is essential in analyzing the intensities of microarray images for biological and medical ...methods using kernel density esti- ... See full document
7
SEGMENTATION OF BREAST TUMOR IN THREE-DIMENSIONAL ULTRASOUND IMAGES USING THREE-DIMENSIONAL DISCRETE ACTIVE CONTOUR MODEL
... paper, the introduced 3-D ultrasound segmen- tation method not only provides the accurate segmenta- tion of the tumor shape, but also easily evaluates the volume ... See full document
11
FUSION OF DEFOCUSED IMAGES USING TRANSFORMS WITH SEGMENTATION
... 2. SEGMENTATION USING QUADTREE AND EDGE ENHANCEMENT Many real-life images consist of smooth background and details of high ...areas of images tend to have higher ... See full document
14
Solution of 2D and 3D Stokes Laws Using Multiquadrics Method
... promising method not only for very accurate interpolation of functions, but also for their partial derivatives, divergences, curls, gradients, and ...solving of differential and integral equations ... See full document
11
Kinematical analysis of the Knee During Cycling Exercise Using a 3D Fluoroscopy Method
... without the 10 mM N-acetylcysteine (NAC, an antioxidant) or 1 mM caffeine (an ATM kinase inhibitor) for 1 ...transfected using Lipofectamine 2000 (Thermo Fisher Scientific) according to the ... See full document
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Kinematical analysis of the Knee During Cycling Exercise Using a 3D Fluoroscopy Method
... Kuo 3 , Horng-Chaung Hsu 4 1 Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan 2 Department of Orthopaedic Surgery, School of Medicine, National Taiwan ... See full document
2
Accurate Measurement of the Kinematics of the Knee During Cycling Exercise Using a 3D Fluoroscopy Method
... Institute of Biomedical Engineering, National Taiwan University, Taiwan; 2 Department of Orthopaedic Surgery, School of Medicine, National Taiwan University, Taiwan; 3 Department of ... See full document
1
3D motion analysis of MR imaging using optical flow method
... In this study, we improve the optical flow methods to have better algorithm in gradient calculations and extend 2D velocity field to 3D motion study. To evaluate the clinic[r] ... See full document
2
Text extraction from complex document images using the multi-plane segmentation technique
... After performing the previous matching phase recursion, if there are unclassified SRs remaining, and the Pool is not drained, these unclassified SRs must be analyzed and a determination [r] ... See full document
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