Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications

Advances in Computational Techniques for Biomedical Image Analysis: Method 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 analysisDescribes advanced computational approaches for biomedical image analysisShows 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 optimizationExplores cloud based medical imaging together with medical imaging security and forensics INDICE: 1. Introduction to computational techniques in biomedical image analysis 2. Medical Imaging modalities 3. Multi-Modal Medical Image Fusion using Deep Learning 4. Medical Image Fusion Framework for Neuro Brain Analysis 5. Automated Detection of Intracranial Hemorrhage in Non-contrast Head CT 6. fMRI analysis to monitor the growth of brain tumor 7. Segmentation techniques for the diagnosis of intervertebral disc 8. Heart Sound Classification using Mel-frequency Cepstral Coefficients and Convolutional Neural Network 9. Comparative analysis of Classification Techniques for Brain MRI Images 10. Hybrid Feature Selection-based feature fusion for Liver disease Classification on Ultrasound Images 11. Comparison of class separability measures with different kernel functions of SVM for breast density classification 12. Radiomics: Approach to Precision Medicine 13. DCT based Compressed Sensing Recovery Strategies in Medical Image Compression: A Comparative Study 14. Segmentation Based Compression Techniques for Medical Images 15. Systematic Survey of Compression Algorithms in Medical Imaging 16. Multi-Level Encryption for securing medical image communication 17. A Modified Digital Signature Algorithm to Improve the Bio-Medical Image Integrity in Cloud Environment 18. Medical Imaging Security and Forensics

• ISBN: 978-0-12-820024-7
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 325
• Fecha Publicación: 01/07/2020
• Nº Volúmenes: 1
• Idioma: Inglés