Computer-aided Design and Diagnosis Methods for Biomedical Applications
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Proposes CAD for the study of biomedical signals to understand physiology and to improve healthcare systems' ability to diagnose and identify health disorders.
Presents concepts of CAD for biomedical modalities in different disorders.
Discusses design and simulation examples, issues, and challenges.
Illustrates bio-potential signals and their appropriate use in studying different disorders.
Includes case studies, practical examples, and research directions.
Computer-Aided Design and Diagnosis Methods for Biometrical Applications is aimed at researchers, graduate students in biomedical engineering, image processing, biomedical technology, medical imaging, and health informatics.
M Murugappan, Smith K. Khare, Waleed Alshuaib, Ali K Bourisly, Varun Bajaj, and G. R. Sinha
Chapter 2 Sleep Stage Classification Using DWT and Dispersion Entropy Applied on EEG Signals
Rajeev Sharma, Sitanshu Sekhar Sahu, Abhay Upadhyay, Rishi Raj Sharma, and Ajit Kumar Sahoo
Chapter 3 Detection of Epileptic Electroencephalogram Signals Employing Visibility Graph Motifs
Sayanjit Singha Roy, Sudip Modak, Kaniska Samanta, Soumya Chatterjee, and Rohit Bose
Chapter 4 Effect of Various Standing Poses of Yoga on the Musculoskeletal System Using EMG
Padmini Sahu, Bikesh Kumar Singh, and Neelamshobha Nirala
Chapter 5 Early Detection of Parkinson Disease and SWEDD Using SMOTE and Ensemble
Emina Alickovic and Abdulhamit Subasi
Chapter 6 Computer-Aided Design and Diagnosis Method for Cancer Detection
Johra Khan and Yousef Rasmi
Chapter 7 Automated COVID-19 Detection from CT Images Using Deep Learning
Abdulhamit Subasi, Arka Mitra, Fatih Ozyurt, and Turker Tuncer
Chapter 8 Suspicious Region Diagnosis in the Brain: A Guide to Using Brain MRI Sequences
Ayca Kirimtat, Ondrej Krejcar, Ali Selamat, Enrique Herrera-Viedma, Kamil Kuca, and Anis Yazidi
Chapter 9 Medical Image Classification Algorithm Based on Weight Initialization-Sliding Window Fusion Convolutional Neural Network
Ankit Kumar, Pankaj Dadheech, S. R. Dogiwal, Sandeep Kumar, and Rajani Kumari
Chapter 10 Positioning the Healthcare Client in Diagnostics and the Validation of Care Intensity
Chapter 11 Computer-Aided Diagnosis (CAD) System for Determining Histological Grading of Astrocytoma Based on Ki67 Counting
Fahmi Akmal Dzulkifli, Maryam Ahmad Sharifuddin, Mohd Yusoff Mashor, and Hasnan Jaafar
Chapter 12 Improved Classification Techniques for the Diagnosis and Prognosis of Cancer
Pankaj Dadheech, Ankit Kumar, S. R. Dogiwal, Vipin Jain, Vijander Singh, and Linesh Raja
Chapter 13 Discovery of Thyroid Disease Using Different Ensemble Methods with Reduced Error Pruning Technique
Dhyan Chandra Yadav and Saurabh Pal
Chapter 14 Reliable Diagnosis and Prognosis of COVID-19
Marjan Mansourian, Hamid Reza Marateb, Maja von Cube, Sadaf Khademi, Mislav Jordanic, Miguel Angel Mananas, Harald Binder, and Martin Wolkewitz
Chapter 15 Computer-Aided Diagnosis Methods for Non-Invasive Imaging of Sub-Skin Lesions
Ravibabu Mulaveesala, Geetika Dua, and Vanita Arora
G R Sinha is Adjunct Professor at International Institute of Information Technology Bangalore (IIITB) and currently deputed as Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar. He obtained his B.E. (Electronics Engineering) and M.Tech. (Computer Technology) with Gold Medal from National Institute of Technology Raipur, India. He received his Ph.D. in Electronics & Telecommunication Engineering from Chhattisgarh Swami Vivekanand Technical University (CSVTU) Bhilai, India. He is Visiting Professor (Honorary) in Sri Lanka Technological Campus Colombo for one year 2019-2020. He has published 254 research papers, book chapters and books at International and National level that includes Biometrics published by Wiley India, a subsidiary of John Wiley; Medical Image Processing published by Prentice Hall of India and 05 Edited books on Cognitive Science-Two Volumes (Elsevier), Optimization Theory (IOP) and Biometrics (Springer). He is active reviewer and editorial member of more than 12 Reputed InternationalJournals such IEEE Transactions on Image Processing, Elsevier Computer Methods and Programs in Biomedicine, Springer Journal of Neural Computing and Applications etc. He has teaching and research experience of 21 years. He has been Dean of Faculty and Executive Council Member of CSVTU and currently a member of Senate of MIIT. Dr Sinha has been delivering ACM lectures as ACM Distinguished Speaker in the field of DSP since 2017 across the world. His few more important assignments include Expert Member for Vocational Training Programme by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019); Chhattisgarh Representative of IEEE MP Sub-Section Executive Council (2016-2019); Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He is recipient of many awards and recognitions like TCS Award 2014 for Outstanding contributions in Campus Commune of TCS, Rajaram Bapu Patil ISTE National Award 2013 for Promising Teacher in Technical Education by ISTE New Delhi, Emerging Chhattisgarh Award 2013, Engineer of the Year Award 2011, Young Engineer Award 2008, Young Scientist Award 2005, IEI Expert Engineer Award 2007, ISCA Young Scientist Award 2006 Nomination and Deshbandhu Merit Scholarship for 05 years. He served as Distinguished IEEE Lecturer in IEEE India council for Bombay section. He is Senior Member of IEEE, Fellow of Institute of Engineers India and Fellow of IETE India. He has delivered more than 50 Keynote/Invited Talks and Chaired many Technical Sessions in International Conferences across the world such as Singapore, Myanmar, Sri Lanka, Bangalore, Mumbai, Trivandrum, Hyderabad, Mysore, Allahabad, Nagpur, Yangon, Meikhtila. His Special Session on "Deep Learning in Biometrics" was included in IEEE International Conference on Image Processing 2017. He is also member of many National Professional bodies like ISTE, CSI, ISCA, and IEI. He is member of various committees of the University and has been Vice President of Computer Society of India for Bhilai Chapter for two consecutive years. He is Consultant of various Skill Development initiatives of NSDC, Govt. of India. He is regular Referee of Project Grants under DST-EMR scheme and several other schemes of Govt. of India. He received few important consultancy supports as grants and travel support. Dr Sinha has Supervised Eight (08) PhD Scholars, 15 M. Tech. Scholars and has been supervising 01 more PhD Scholar. His research interest includes Biometrics, Cognitive Science, Medical Image Processing, Computer Vision, Outcome based Education (OBE) and ICT tools for developing Employability Skills.