Coverart for item
The Resource Classification in BioApps : Automation of Decision Making, Nilanjan Dey, Amira S. Ashour, Surekha Borra, editors

Classification in BioApps : Automation of Decision Making, Nilanjan Dey, Amira S. Ashour, Surekha Borra, editors

Label
Classification in BioApps : Automation of Decision Making
Title
Classification in BioApps
Title remainder
Automation of Decision Making
Statement of responsibility
Nilanjan Dey, Amira S. Ashour, Surekha Borra, editors
Contributor
Subject
Language
eng
Summary
This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges. Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization. In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals
Member of
Cataloging source
EBLCP
Dewey number
  • 616.07/5
  • 620
Index
no index present
LC call number
RC78.7.D35
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Dey, Nilanjan
  • Ashour, Amira S
  • Borra, Surekha
Series statement
Lecture Notes in Computational Vision and Biomechanics
Series volume
v. 26
http://library.link/vocab/subjectName
  • Diagnosis
  • Biomedical engineering
Label
Classification in BioApps : Automation of Decision Making, Nilanjan Dey, Amira S. Ashour, Surekha Borra, editors
Instantiates
Publication
Note
4.2 Firefly Algorithm (FFA)
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Preface; Part I#x83;Machine Learning Based Detection and Classification; Part II#x83;Deep Learning and Fuzzy-based Computer-Aided Diagnosis; Part III#x83;Miscellaneous Applications; Contents; Abbreviations; Machine Learning Based Detection and Classification; 1 Medical Imaging and Its Objective Quality Assessment: An Introduction; Abstract; 1 Introduction; 2 History and Types of Medical Imaging Technologies; 3 Full Reference (FR)-Based OA-IQA Algorithms; 3.1 Mean Square Error (MSE) and Root Mean Square Error (RMSE); 3.2 Peak Signal to Noise Ratio (PSNR) and Its Variations
  • 3.3 Structural Similarity Index Measure (SSIM)3.4 Multi-scale Structural Similarity Index Measure (MS-SSIM); 3.5 Feature Similarity Index Measure (FSIM); 4 No Reference (NR)-Based OA-IQA Algorithms; 4.1 Contrast to Noise Ratio (CNR); 4.2 Codebook-Based Blind Image Quality (CBIQ) Measure; 4.3 Learning-Based Blind Image Quality Measure (LBIQ); 4.4 Distortion Identification-Based Image Verity and Integrity Evaluation Index; 4.5 Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE); 4.6 Blind Image Notator Using Discrete Cosine Transform Statistics
  • 5 Reduced Reference (RR)-Based OA-IQA Algorithms5.1 Multi-scale Geometric Analysis (MGA) Framework; 5.2 Divisive Normalization; 5.3 Reduced Reference-IQA-Based on Entropy of Primitives (EoP); 5.4 Reduced Reference-IQA Based on a Moment Algorithm; 5.5 RR-IQA Using Regularity of the Phase Congruency (PC); 5.6 Image Similarity Metric (ISIM) Based on Natural Scene Statistics (NSS); 5.7 Reduced Reference IQA Metric Based on DCT Subbands Similarity (RR-DSS); 6 Discussion and Future Directions; References
  • 2 A Novel Approach for the Classification of Liver MR Images Using Complex Orthogonal Ripplet-II and Wavelet-Based TransformsAbstract; 1 Introduction; 2 Methods; 2.1 Segmentation; 2.2 Multi-resolution Analysis (MRA) Methods for Feature Extraction; 2.2.1 Radon Transform (RAT) and Generalized Radon Transform (GRAT); 2.2.2 Ridgelet Transform (RT); 2.2.3 Ripplet Type-II Transform (Ripp-II); 2.2.4 Orthogonal Ripplet Type-II Transform (OrtRipp-II); 2.2.5 Complex Orthogonal Ripplet-II Transform (Complex OrtRip-II); 2.3 Statistical Feature Extraction; 2.4 Artificial Neural Network (ANN)
  • 2.5 Performance Evaluation Methods3 Experiments; 3.1 Single ANN System; 3.2 Dual-Combined System; 3.3 Triple-Combined System; 4 Discussion and Results; 5 Conclusion; Acknowledgements; References; 3 ECG Based Myocardial Infarction Detection Using Different Classification Techniques; Abstract; 1 Introduction; 2 Pre-Processing; 3 Feature Extraction; 3.1 Feature Extraction of ECG with Autoregressive (AR) Modeling; 3.2 Continuous Wavelet Transform (CWT); 3.3 Magnitude Squared Coherence (MSC); 3.3.1 Welch Method for Estimating PSD; 4 Feature Optimization; 4.1 Particle Swarm Optimization (PSO)
Control code
SPR1012345537
Dimensions
unknown
Extent
1 online resource (453 pages).
File format
unknown
Form of item
online
Isbn
9783319659800
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-65981-7
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1012345537
  • (OCoLC)1012345537
Label
Classification in BioApps : Automation of Decision Making, Nilanjan Dey, Amira S. Ashour, Surekha Borra, editors
Publication
Note
4.2 Firefly Algorithm (FFA)
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Preface; Part I#x83;Machine Learning Based Detection and Classification; Part II#x83;Deep Learning and Fuzzy-based Computer-Aided Diagnosis; Part III#x83;Miscellaneous Applications; Contents; Abbreviations; Machine Learning Based Detection and Classification; 1 Medical Imaging and Its Objective Quality Assessment: An Introduction; Abstract; 1 Introduction; 2 History and Types of Medical Imaging Technologies; 3 Full Reference (FR)-Based OA-IQA Algorithms; 3.1 Mean Square Error (MSE) and Root Mean Square Error (RMSE); 3.2 Peak Signal to Noise Ratio (PSNR) and Its Variations
  • 3.3 Structural Similarity Index Measure (SSIM)3.4 Multi-scale Structural Similarity Index Measure (MS-SSIM); 3.5 Feature Similarity Index Measure (FSIM); 4 No Reference (NR)-Based OA-IQA Algorithms; 4.1 Contrast to Noise Ratio (CNR); 4.2 Codebook-Based Blind Image Quality (CBIQ) Measure; 4.3 Learning-Based Blind Image Quality Measure (LBIQ); 4.4 Distortion Identification-Based Image Verity and Integrity Evaluation Index; 4.5 Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE); 4.6 Blind Image Notator Using Discrete Cosine Transform Statistics
  • 5 Reduced Reference (RR)-Based OA-IQA Algorithms5.1 Multi-scale Geometric Analysis (MGA) Framework; 5.2 Divisive Normalization; 5.3 Reduced Reference-IQA-Based on Entropy of Primitives (EoP); 5.4 Reduced Reference-IQA Based on a Moment Algorithm; 5.5 RR-IQA Using Regularity of the Phase Congruency (PC); 5.6 Image Similarity Metric (ISIM) Based on Natural Scene Statistics (NSS); 5.7 Reduced Reference IQA Metric Based on DCT Subbands Similarity (RR-DSS); 6 Discussion and Future Directions; References
  • 2 A Novel Approach for the Classification of Liver MR Images Using Complex Orthogonal Ripplet-II and Wavelet-Based TransformsAbstract; 1 Introduction; 2 Methods; 2.1 Segmentation; 2.2 Multi-resolution Analysis (MRA) Methods for Feature Extraction; 2.2.1 Radon Transform (RAT) and Generalized Radon Transform (GRAT); 2.2.2 Ridgelet Transform (RT); 2.2.3 Ripplet Type-II Transform (Ripp-II); 2.2.4 Orthogonal Ripplet Type-II Transform (OrtRipp-II); 2.2.5 Complex Orthogonal Ripplet-II Transform (Complex OrtRip-II); 2.3 Statistical Feature Extraction; 2.4 Artificial Neural Network (ANN)
  • 2.5 Performance Evaluation Methods3 Experiments; 3.1 Single ANN System; 3.2 Dual-Combined System; 3.3 Triple-Combined System; 4 Discussion and Results; 5 Conclusion; Acknowledgements; References; 3 ECG Based Myocardial Infarction Detection Using Different Classification Techniques; Abstract; 1 Introduction; 2 Pre-Processing; 3 Feature Extraction; 3.1 Feature Extraction of ECG with Autoregressive (AR) Modeling; 3.2 Continuous Wavelet Transform (CWT); 3.3 Magnitude Squared Coherence (MSC); 3.3.1 Welch Method for Estimating PSD; 4 Feature Optimization; 4.1 Particle Swarm Optimization (PSO)
Control code
SPR1012345537
Dimensions
unknown
Extent
1 online resource (453 pages).
File format
unknown
Form of item
online
Isbn
9783319659800
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-65981-7
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1012345537
  • (OCoLC)1012345537

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