Handbook of Deep Learning in Biomedical Engineering and Health Informatics

E. Golden Julie, PhD, is a Senior Assistant Professor in the Department of Computer Science and Engineering at Anna University, Regional Campus, Tirunelveli, India. With more than 12 years of experience in teaching, she has published and presented many papers at national and international conferences. She has written ten book chapters and is co-editor of the books Successful Implementation and Deployment of IoT Projects in Smart Cities and Handbook of Research on Blockchain Technology: Trend and Technologies. She also acts as a reviewer for many journals on computers and electrical engineering. Y. Harold Robinson, PhD, is currently working at the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. He has more than 15 years of experience in teaching, has published many papers in international journals and presented at both national and international conferences. Along with Dr. Julie, Dr. Robinson is co-editor of the books Successful Implementation and Deployment of IoT Projects in Smart Cities and Handbook of Research on Blockchain Technology: Trend and Technologies. He is a reviewer of many journals. S. M. Jaisakthi, PhD, is an Associate Professor at the School of Computer Science and Engineering at the Vellore Institute of Technology, Vellore, India. Dr. Jaisakthi has extensive research experience in machine learning in image processing, medical image analysis and in building deep learning models. She has published many research publications in refereed international journals and in proceedings of international conferences. Currently she is investigating a project funded by the Science and Engineering Research Board (SERB).

1. Review of Existing Systems in Biomedical Using Deep Learning Algorithms 2. An Overview of Convolutional Neural Network Architecture and Its Variants in Medical Diagnostics of Cancer and COVID-19 3. Technical Assessment of Various Image Stitching Techniques: A Deep Learning Approach 4. CCNN: A Deep Learning Approach for an Acute Neurocutaneous Syndrome via Cloud-Based MRI Images 5. Critical Investigation and Prototype Study on Deep Brain Stimulations: An Application of Biomedical Engineering in Healthcare 6. Insight into Various Algorithms for Medical Image Analyzes Using Convolutional Neural Networks (Deep Learning) 7. Exploration of Deep RNN Architectures: LSTM and GRU in Medical Diagnostics of Cardiovascular and Neuro Diseases 8. Medical Image Classification and Manifold Disease Identification Through Convolutional Neural Networks: A Research Perspective 9. Melanoma Detection on Skin Lesion Images Using K-Means Algorithm and SVM Classifier 10. Role of Deep Learning Techniques in Detecting Skin Cancer: A Review 11. Deep Learning and Its Applications in Biomedical Image Processing