Medical Image Processing
Validation in medical image processing.
... in medical image processing, but due to intra-expert and inter-expert variability, it is often desirable to find an automatic ...in Medical Image Analysis”, Crum et ...
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Hierarchical Temporal Memory Network for Medical Image Processing
... an image recognition based on HTM framework which can identify the middle slice in the CT slice group is ...in medical image processing and research on HTM ...
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MRI Image Sample Noise Filtration and a Design Toolbox to Generate Complex Phantoms in Medical Image Processing
... for image de-noising ...current image smoothening ...of medical image processing, the evaluation of new algorithms is often a difficult task since real data sets do not allow a ...
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Nonlinear Optical Spatial Filtering for Medical Image Processing
... information processing [15] such as edge enhancement and medical image processing [5] [6] ...the image (low spatial frequencies at the center with high intensities and low spatial ...
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Enhancing the Efficiency of Parallel Genetic Algorithms for Medical Image Processing with Hadoop
... of medical imaging. Medical imaging is a powerful tool in the field of medicine to take a further step to diagnose and cure ...as image segmentation algorithms, contribute a maximum in medical ...
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Hybrid Multi Resolution Method of Image Fusion for Medical Image Processing
... fused image, which preserves relevant information and also retains the important features from each of the original images and makes it more suitable for human and machine ...onto image fusion is that, in ...
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Study on Medical Image Processing Technologies Based on DICOM
... medical image. With the popularity of pictorial and computerized medical equipments and the development of hospital management information system, the standard is widely ...of medical ...
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Review of Feature Selection Methods in Medical Image Processing
... [10]. Medical images are a fundamental part of medical diagnosis and ...an image of ...Content-based image retrieval (CBIR) is a widely researched ...multi-parametric medical images, ...
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Contributions of Continuous Max-Flow Theory to Medical Image Processing
... referred to via segmentation in which the image is decomposed into multiple objects of interest which themselves can be recursively decomposed. That is, the ontology defines what objects are being segmented and a ...
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GIMP and Wavelets for Medical Image Processing: Enhancing Images of the Fundus of the Eye
... original image from DRIVE ...tone image and in 7.a3 the image we obtain using GIMP Cartoon ...another image of DRIVE database (see Figure ...
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A Study of Deep Learning Technique and Its Application in Medical Image Processing
... Desai [7,8]: survey presents speech is the most natural form of human communication and speech processing has been one of the most inspiring expanses of signal processing . Speech recognition is the process ...
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Three-Dimensional Modeling in Medical Image Processing by Using Fractal Geometry
... Abstract: Medical images are visualized by computer and processed to obtain larger, more organized, and three-dimensional (3D) ...employing medical imaging methods such as Magnetic Resonance (MR) and ...
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A Review on Deep Learning Technique and Its Application in Medical Image Processing
... non-medical image database may be a good substitute to domain specific representations, which are yet to be available, for general medical image recognition ...
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FPGA Implementation of Adaptive Contrast Enhancement Architecture for Medical Image Processing
... input image .Then the converting color image to gray ...original image. If low contrast then the contrast of an image is ...an image is ...
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A Review of the Effective Techniques of Compression in Medical Image Processing
... input image is often compressed by 8-bit JPEG-LS encoding alone attributable to no frame of reference, then the second frame are going to be the present frame, and therefore the 1st frame becomes the frame of ...
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Detection of Brain Tumor by Medical Image Processing
... Zou et al. (2004) compared the three different validation metrics: area under the receiver operating characteristics (ROC) curve, mutual information (MI) and Dice similarity coefficient (DSC) for probabilistic brain ...
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Filtering Approaches in Medical Image Processing: A Tutorial
... image. Sampling is the process of converting an analog signal into discrete components separated by uniform intervals. All the mathematical concepts applied to sampling of one-dimensional signals can be extended ...
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Technique for Drug Discovery in Medical Image Processing
... For the purpose of lifting the performance of GPU in terms of its high-performance, the speed of the application is made to be higher in terms of the view of client. The code will keep running in a highly parallel manner ...
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Large-scale Medical Image Processing
... In X RAY CT (computed tomography), reducing the scanning time is one of the most important parts. If the scanning time is shortened, hospitals can reduce the time required per patient, and patients will be less exposed ...
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IMAGE COMPRESSION APPROACH FOR MEDICAL PROCESSING USING MODIFIED NEURO MODELING
... networks, image and video data comprises the bulk of the bit ...that image data take up over 40% of the volume on the ...for image and video data, with delivery limitation has kept compression ...
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