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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

by Nilanjan Dey

July 2019

Intermediate to advanced

218 pages

6h 35m

English

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Contents

AbstractAcknowledgment1.1 Introduction1.2 Methods1.3 Experiments and results1.4 Conclusion
Abstract2.1 Introduction2.2 Health indices2.3 Medical data classification methods2.4 Applications and evaluation of classification methods2.5 Comparison2.6 Conclusions
Abstract3.1 Introduction3.2 Literature survey3.3 Materials and methods3.4 Conclusion
Abstract4.1 Introduction4.2 Relevance of prosodic and source features4.3 Extraction of prosodic and source features4.4 Evaluation of prosodic and source features for characterizing dysfluencies4.5 Conclusions

Abstract5.1 Introduction5.2 Related works5.3 Proposed work5.4 Experimental results and analysis5.5 Conclusion
AbstractConflicts of interest6.1 Introduction6.2 Materials and methods6.3 Experiments and analysis of results6.4 Discussion6.5 Conclusion
Abstract7.1 Introduction7.2 Literature survey7.3 Methodology7.4 Dimensionality reduction7.5 Classification7.6 Evaluation metrics7.7 Implications7.8 Generalization capability of the proposed arrhythmia classifier7.9 Conclusion
Abstract8.1 Introduction8.2 Medical health care paradigm8.3 Data fusion models and algorithms8.4 Literature survey8.5 Proposed methodology8.6 Data flow diagram8.7 Heart beat monitoring8.8 Experimental setup8.9 Results and discussion8.10 Conclusion

Content preview from Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

First Edition

Series Editors

Nilanjan Dey

Amira S. Ashour

Simon James Fong

Volume Editor

Nilanjan Dey

Department of Information Technology, Techno India College of Technology, Kolkata, India

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Publisher Resources

ISBN: 9780128180051