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Indigo Advances Computational Techniques for Biomedical Image Analysis: Methods and Applications | Erin Mills Town Centre
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Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems.
Covers various challenges and common research issues related to biomedical image analysis
Describes advanced computational approaches for biomedical image analysis
Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc.
Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization
Explores cloud based medical imaging together with medical imaging security and forensics
Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems.
Covers various challenges and common research issues related to biomedical image analysis
Describes advanced computational approaches for biomedical image analysis
Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc.
Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization
Explores cloud based medical imaging together with medical imaging security and forensics
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