Segmentation of medical images
Segmentation and 3D Reconstruction of Structures Represented in Images: Applications in Medical Images
... reliability of a 3D model depends on two critical factors: the accuracy of the segmented regions and the spatial interpolation between neighbouring ...effective segmentation algorithms have been ...
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Image segmentation algorithms on female pelvic ultrasound images
... number of medical images have triggered an increased need to use computers to ease processing and ...delineation of anatomical structures and other regions of interest are becoming ...
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A Review of Segmentation of Mammographic Images Based on Breast Density
... one of the leading causes of fatality in ...detection of breast ...assessment of mammograms. The aim of this paper is to review approaches for segmentation of breast ...
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Detection of defects in digital texture images using segmentation
... use of visual inspection systems are used in many industrial and commercial ...detection of tiles,metal,fabric inspection and ...and segmentation in order to identify the defects in gray level ...
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Medical Image Segmentation Based on AIFs
... set of images of similar type. As a result of the partial volume effect (PVE), resolution related issues and motion artifacts, the object boundary in any PET image will contain some amount ...
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Automatic segmentation of the lumen in magnetic resonance images of the carotid artery
... advent of novel imaging-based systems contributed to increase the accuracy in detecting and evaluating the pathologies associated to cardiovascular ...examples of imaging diagnostic systems used to identify ...
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Segmentation of striatal brain structures from high resolution pet images
... in medical procedures, where the segmentation is still done manually or ...extraction of volumes could be further developed for other medical functional imaging technologies, other anatomical ...
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Enhanced Image Registration Technique for Medical Image Segmentation
... type of fixed transform, these characteristics made contourlet transform to be effectively applied in a computer vision tasks, similar to ...in medical examination, assistant diagnosis of brain ...
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Correction: Segmentation and Classification of Bone Marrow Cells Images Using Contextual Information for Medical Diagnosis of Acute Leukemias.
... 1. Reta C, Altamirano L, Gonzalez JA, Diaz-Hernandez R, Peregrina H, Olmos I, et al. (2015) Segmenta- tion and Classification of Bone Marrow Cells Images Using Contextual Information for Medical ...
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Social Group Optimization Supported Segmentation and Evaluation of Skin Melanoma Images
... development of several algorithms regarding different tissues, organs and imaging ...one of the most common serious malignancies in the human ...diagnosis of skin ...dermoscopy images is ...
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Classification and Decision Making of Medical Infrared Thermal Images
... 2-color segmentation approach, K- means and fuzzy c-means (FCM) for color segmentation of infrared breast images were modelled and ...nature of IR breast images helps the FCM ...
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Segmentation using Codebook Index Statistics for Vector Quantized Images
... one of their neighbor regions until to the pixel ...segmenting images in the compressed domain and with blocks rather than ...image segmentation and the results can be applied on VQ-based image/video ...
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Comparative study of segmentation techniques in fluorescence microscope images with Leishmania infections
... subject of interest of scientific and engineering ...boundaries of human knowledge in biology, medicine, chemistry, pharmacology, and many related ...analyze images of various living ...
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A review on the current segmentation algorithms for medical images
... developments of imaging techniques such as Computer Tomography (CT) and Magnetic Resonance Imaging (MRI) offer doctors with high resolution images which have greatly assisted the clinical ...Meanwhile ...
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Contributions to the segmentation of dermoscopic images
... example of an edge-based method can be found in [ 35 ], where the skin lesion is segmented either by the geodesic active contours model or the geodesic edge tracing ...one of the most commonly used ...
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Segmentation of Pulmonary Nodules in CT images
... ysis of the methods’ performance was achieved through comparison plots to help visualize the results, and through an adequate set of evaluation metrics which take into account the several challenges ...
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Segmentation and Classification of Brain MRI Images Using Improved Logismos-B Algorithm
... diagnosis of brain MRI images is one of the most challenging problems in medical ...Accurate segmentation of MRI images is a key step in contouring during radiotherapy ...
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4D segmentation of brain MR images with constrained cortical thickness variation.
... development of MR imaging technology and its widespread use, large number of MR images are obtained for clinical ...time-point images from each ...onset of neurodegenerative diseases ...
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Using physical principles in the segmentation of objects represented in images
... set of radial basis functions that allows an easy inser- tion of the data points in the ...each of its feature points are covered by an elastic membrane [3; ...
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A FUZZY FRAMEWORK FOR SEGMENTATION, FEATURE MATCHING AND RETRIEVAL OF BRAIN MR IMAGES
... retrieval of MRI images of the ...set of fuzzy features corresponding to the various regions obtained after ...two images, unified feature matching (UFM) is ...properties of all ...
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