Medical Environment for Diagnostic Images
Distraction in diagnostic radiology: How is search through volumetric medical images affected by interruptions?
... controlled environment of a cockpit, it may be unrealistic or even misguided to completely eliminate interruptions in complex medical environments that rely on intercommunication for patient care (Durso ...
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Performance Study of Different Medical Images Based on Morphology in Noisy Environment
... of Medical images is done using their regional ...background. Medical image edge detection concentrates on object recognition of human organs but involves noise along with shadows and ...Several ...
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Title: A Survey of Cloud Environment in Medical Images Processing
... Nowadays Medical imaging has become one of the most important methods and techniques for visualization and interpretation of diagnostic in medicine field [1], ...displaying medical images ...
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The design process of an autostereoscopic viewing interface for computer-assisted microsurgery
... Overall, this research has tackled some difficult problems o f perceptual issues in stereo video such as camera separation, expanded DGF and the accommodation- convergence conflict. For example, it is known that 3D ...
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A fine grained corpus annotation schema of German nephrology records
... like Medical Condition are not limited to a certain ...form: Medical Specification and Local Specification occur only in describing, thus in adjectival ...patient’s medical condition and treatments) ...
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Comparative Study of Image Restoration Using Fusion Technique
... optical images. An integrated image based on these two images is generated by the area-based fusion scheme, which imposes different fusion rules for each segmented ...multimodal medical images ...
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Despeckling of Medical Ultrasound Images Using Suitable Denoising Algorithms
... Abstract - Ultrasound images are normally affected by speckle noise. Speckle noise is a granular noise that inherently exists and degrades the quality of the medical images. Many filtering techniques ...
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Histological image classification using biologically interpretable shape-based features
... tumor images with very different stain ...cancer images) to normalize and segment renal tumor ...reference images (Figure 3, Step ...reference images from a set of 50 ovarian cancer ...
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Hybrid Multimodality Medical Image Fusion based on Guided Image Filter with Pulse Coupled Neural Network
... Multimodal medical image fusion technique is a fast and effective fusion method proposed for creating a highly integrating and informative fused medical image to acquire a more complete and accurate ...
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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) ...significant images are ...employing medical imaging methods ...
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Data Hiding in Medical Images
... two images of the same modality may have different gray-scale ...of medical images of different modalities, it is inferred that the lower threshold is nearly equal to 18 1 th of the value of the ...
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Biogeography for Watermarking Medical Images
... Abstract: With the evolution of internet and multimedia digital watermarking is gaining momentum. In day to day life for unwanted messages few people are affected .So watermarking is essential in every part of ...
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Quantification of heterogeneity observed in medical images
... Another interesting application of ζ lies in the associa- tion of a heterogeneity score with intra-tumoral diffusion. Diffusion tensor imaging (DTI) is a magnetic resonance modality which can measure the directional ...
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Standardisation of Medical Images and Mimosa Model
... A detailed presentation of the contents of this demonstrator has been given elsewhere [6]. We present here a concise description of the architecture used. The choice of architecture took account of two major constraints. ...
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The effect of compound noise on medical images
... One of the most common methods used in image processing is the use of filters. The filter applies either to all elements of the image which is considered as one unit image and is called this method In some applications, ...
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Quality Measurement in Segmentation of Medical Images
... the medical images which is carried out for different types of medical images and compared using quality measures such as structural content(SC), Image fidelity(IF), Normalized correlation ...
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Survey on Denoising Techniques in Medical Images
... to images is ...of images is classically done with the following process: The image is transformed into some domain where the noise component is recognized without difficulty, to eliminate the noise, a ...
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COMPUTER AIDED SYSTEM FOR BRAIN ABNORMALITIES SEGMENTATION
... One of the most complex, less accessible and prone to complex abnormalities human organs, the brain is the primary beneficiary of these medical imaging techniques (Pitiot et al., 2007). Its complexity is expressed ...
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SEGMENTATION OF TUMOURS IN MEDICAL IMAGES
... 2. Soumya Ghose, Arnau Oliver, Robert Marti, Xavier Llado, Joan C. Vilanova, Jordi Freixenet, Jhimli Mitra, Desire Sidibe, Fabrice Meriaudeau, “A survey of prostate segmentation methodologies in ultrasound, magnetic ...
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Joint Digital Water Marking for Medical Images for Improving Security
... Telemedicine is playing a vital role as it made easy for everybody to transfer the EHR (Electronic Health record) which may include the medical scanned images from any remote places. This technology made ...
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