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Advances in Computational Techniques for Biomedical Image Analysis

by Deepika Koundal
Publisher: Academic Press
Release Date: 2020-05-28
Genre: Computers
Pages: 322 pages
ISBN 13: 0128204117
ISBN 10: 9780128204115
Format: PDF, ePUB, MOBI, Audiobooks, Kindle

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Synopsis : Advances in Computational Techniques for Biomedical Image Analysis written by Deepika Koundal, published by Academic Press which was released on 2020-05-28. Download Advances in Computational Techniques for Biomedical Image Analysis Books now! Available in PDF, EPUB, Mobi Format. 140 120 100 80 60 40 20 0 ReliefF SBS SFS HFS k-NN 74 94 15 13 SVM 118 48 22 21 Result: It was observed from Fig. ... The best threshold value selected for input of SFS k-NN and SFSSVM (after ReliefF ranking) was 50% and 80% of features ... -- 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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