book

Advanced Machine Vision Paradigms for Medical Image Analysis

Name: Advanced Machine Vision Paradigms for Medical Image Analysis
ISBN: 9780128192962

by Tapan K. Gandhi, Siddhartha Bhattacharyya, Sourav De, Debanjan Konar, Sandip Dey

August 2020

Intermediate to advanced

308 pages

8h 4m

English

Academic Press

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Cover image
Title page
Table of Contents
Copyright
Dedication
Contributors
Preface
Chapter 1. An introductory illustration of medical image analysis
1. Introduction2. Medical image analysis: issues and challenges3. Summary of all contributory chapters (challenges and findings)4. Discussion and conclusion with future trends
Chapter 2. Computer-aided decision support system for symmetry-based prenatal congenital heart defects
1. Introduction2. Clinical dataset, clinical perspectives of CHD screening and methodology3. Results and discussion4. Conclusion
Chapter 3. Morphological extreme learning machines applied to the detection and classification of mammary lesions
1. Introduction

2. Breast cancer
3. Extreme learning machines
4. Proposed methodology
5. Results
6. Conclusion
Chapter 4. 4D medical image analysis: a systematic study on applications, challenges, and future research directions
1. Introduction2. Different 4D medical imaging modalities3. Exploration of 4D CT4. Exploration of 4D ultrasound imaging5. Exploration of 4D flow magnetic resonance imaging6. Machine learning techniques in 4D medical imaging7. Conclusion and future trends
Chapter 5. Comparative analysis of hybrid fusion algorithms using neurocysticercosis, neoplastic, Alzheimer's, and astrocytoma disease affected multimodality medical images
1. Introduction2. Literature survey3. Proposed work4. Implementations and discussions5. Summary
Chapter 6. Binary descriptor design for the automatic detection of coronary arteries using metaheuristics
1. Introduction2. Background3. Proposed method4. Computational experiments5. Concluding remarksAppendix A
Chapter 7. A cognitive perception on content-based image retrieval using an advanced soft computing paradigm
1. Introduction2. Related works3. Methodology4. Experimental results5. Conclusion
Chapter 8. Early detection of Parkinson's disease using data mining techniques from multimodal clinical data
1. Introduction2. Review of literature3. Materials and methods4. Voice dataset processing5. Spiral dataset preprocessing6. Ensemble-based prediction from voice and spiral dataset7. Evaluation metrics8. Experimental results9. Conclusion
Chapter 9. Contrast improvement of medical images using advanced fuzzy logic-based technique
1. Introduction2. Review of the recent works and motivation toward the proposed work3. Steps involved in the proposed approach4. Methods and materials5. Experiment and result discussion6. Subjective evaluations7. Objective evaluation8. Time comparison9. Conclusion
Chapter 10. Bone age assessment using metric learning on small dataset of hand radiographs
1. Introduction2. Motivation3. Related work4. Methodology5. Results6. Discussion7. Conclusion
Chapter 11. Conclusion and future research directions
1. Concluding remarks2. Future avenues
Index

Content preview from Advanced Machine Vision Paradigms for Medical Image Analysis

Chapter 1. An introductory illustration of medical image analysis

1. Introduction

2. Medical image analysis: issues and challenges

3. Summary of all contributory chapters (challenges and findings)

4. Discussion and conclusion with future trends

Chapter 2. Computer-aided decision support system for symmetry-based prenatal congenital heart defects

1. Introduction

2. Clinical dataset, clinical perspectives of CHD screening and methodology

3. Results and discussion

4. Conclusion

Chapter 3. Morphological extreme learning machines applied to the detection and classification of mammary lesions

1. Introduction

2. Breast cancer

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Advanced Machine Vision Paradigms for Medical Image Analysis

by Tapan K. Gandhi, Siddhartha Bhattacharyya, Sourav De, Debanjan Konar, Sandip Dey

Table of Contents

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.