Handbook of Deep Learning in Biomedical Engineering and Health Informatics (Hardcover)

1. Review of Existing Systems in Biomedical Using Deep Learning Algorithms M. Sowmiya, C. Thilagavathi, M. Rajeswari, R. Divya, K. Anusree, and Shyam Krishna 2. An Overview of Convolutional Neural Network Architecture and Its Variants in Medical Diagnostics of Cancer and COVID-19 M. Pavithra, R. Rajmohan, T. Ananth Kumar, and S. G. Sandhya 3. Technical Assessment of Various Image Stitching Techniques: A Deep Learning Approach M. Anly Antony, R. Satheesh Kumar, G. R.Gnana King, V. Yuvaraj, and Chidambaranathan 4. CCNN: A Deep Learning Approach for an Acute Neurocutaneous Syndrome via Cloud-Based MRI Images S. Arunmozhi Selvi, T. Ananth Kumar, and R. S. Rajesh 5. Critical Investigation and Prototype Study on Deep Brain Simulations: An Application of Biomedical Engineering in Healthcare V. Milner Paul, S. R. Boselin Prabhu, T. Jarin, and T. Ananth Kumar 6. Insight into Various Algorithms for Medical Image Analyses Using Convolutional Neural Networks (Deep Learning) S. Sundaresan, K. Suresh Kumar, V. Kishore Kumar, and B. B. Jaya Kumar 7. Exploration of Deep RNN Architectures: LSTM and GRU in Medical Diagnostics of Cardiovascular and Neuro Diseases R. Rajmohan, M. Pavithra, T. Ananth Kumar, and P.Manjubala 8. Medical Image Classification and Manifold Disease Identification through Convolutional Neural Networks: A Research Perspective K. Suresh Kumar, A. S. Radhamani, S. Sundaresan, and T. Ananth Kumar 9. Melonama Detection on Skin Lesion Images Using K-Means Algorithm and SVM Classifier M. Julie Therese, A. Devi, and G. Kavya 10. Role of Deep Learning Techniques in Detecting Skin Cancer: A Review S. M. Jaisakthi and B. Devikirubha 11. Deep Learning and Its Applications in Biomedical Image Processing V. V. Satyanarayana Tallapragada