
Advances in Computational Techniques for Biomedical Image Analysis
Methods and Applications
Description
Key Features
- 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
Readership
Medical imaging researchers, graduate students, clinical researchers
Table of Contents
SECTION I OVERVIEW
1. Computational techniques in biomedical image analysis: overviewSECTION II IMAGE PREPROCESSING AND SEGMENTATION TECHNIQUES
2. Multimodal medical image fusion using deep learning
3. Medical image fusion framework for neuro brain analysis
4. Automated detection of intracranial hemorrhage in noncontrast head computed tomography
5. Segmentation techniques for the diagnosis of intervertebral disc diseasesSECTION III MEDICAL IMAGE CLASSIFICATION AND ANALYSIS
6. Heartbeat sound classification using Melfrequency cepstral coefficients and deep convolutional neural network
7. Comparative analysis of classification techniques for brain magnetic resonance imaging images
8. Hybrid feature selection-based feature fusion for liver disease classification on ultrasound imagesSECTION IV BIOMEDICAL IMAGE COMPRESSION AND TRANSMISSION
9. Discrete cosine transform
10. Segmentation-based compression techniques for medical images
11. Systematic survey of compression algorithms in medical imagingSECTION V BIOMEDICAL IMAGE SECURITY
12. Multilevel medical image encryption for secure communication
13. A modified digital signature algorithm to improve the biomedical image integrity in cloud environment
14. Medical imaging security and forensics: a systematic literature review
Product details
- No. of pages: 322
- Language: English
- Copyright: © Academic Press 2020
- Published: May 28, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128200247
- eBook ISBN: 9780128204115
About the Editors
Deepika Koundal
Affiliations and Expertise
Savita Gupta
Affiliations and Expertise
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