Description
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
Table of Contents
SECTION I OVERVIEW1. Computational techniques in biomedical image analysis: overviewSECTION II IMAGE PREPROCESSING AND SEGMENTATION TECHNIQUES2. Multimodal medical image fusion using deep learning3. Medical image fusion framework for neuro brain analysis4. Automated detection of intracranial hemorrhage in noncontrast head computed tomography5. Segmentation techniques for the diagnosis of intervertebral disc diseasesSECTION III MEDICAL IMAGE CLASSIFICATION AND ANALYSIS6. Heartbeat sound classification using Melfrequency cepstral coefficients and deep convolutional neural network7. Comparative analysis of classification techniques for brain magnetic resonance imaging images8. Hybrid feature selection-based feature fusion for liver disease classification on ultrasound imagesSECTION IV BIOMEDICAL IMAGE COMPRESSION AND TRANSMISSION9. Discrete cosine transform10. Segmentation-based compression techniques for medical images11. Systematic survey of compression algorithms in medical imagingSECTION V BIOMEDICAL IMAGE SECURITY12. Multilevel medical image encryption for secure communication13. A modified digital signature algorithm to improve the biomedical image integrity in cloud environment14. Medical imaging security and forensics: a systematic literature review
