Deep Learning in Medical Image Analysis: Recent Advances and Future Trends(Artificial Intelligence in Smart Healthcare Systems)

This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This book Delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field Presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data Provides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction Highlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applications This book is for students, scholars, and professionals of biomedical technology and healthcare data analytics.

Table of Contents:
Editor Biographies. List of Contributors. Chapter 1 Journey into the Digital Frontier: Demystifying Neural Networks and Deep Learning. Chapter 2 An In-Depth Analysis of Deep Learning’s Multifaceted Influence on Healthcare Systems. Chapter 3 Monitoring and Diagnosis of Health Using Deep Learning Methods. Chapter 4 A Survey: Recent Advances and Clinical Applications of Deep Learning in Medical Image Analysis. Chapter 5 A Deep Learning Framework to Detect Diabetic Retinopathy Using CNN. Chapter 6 Skin Cancer Detection and Classification Using Deep Learning Techniques. Chapter 7 Prediction of Epidermis Disease Outbreak Using Deep Learning. Chapter 8 Deep Learning-Based Medical Image Segmentation: A Comprehensive Investigation. Chapter 9 Unleashing the Potential of Deep Learning in Diabetic Retinopathy: A Comprehensive Survey. Chapter 10 Enhancing Cardiovascular Health Diagnosis through Predictive Analysis of Electronic Health Records. Index.

About the Author :
Ms. Indrakumari Ranganathan is working as an Assistant Professor, School of Computing Science and Engineering, Galgotias University, NCR Delhi, India. She has completed an M.Tech in Computer and Information Technology from Manonmaniam Sundaranar University, Tirunelveli. Her main thrust areas are Big Data, Internet of Things, Data Mining, Datawarehousing, and its visualization tools like Tableau, Qlikview. She has several top-notch conferences in her resume and has published over 50 quality journal, conference, and book chapters combined. Dr. T. Ganesh Kumar works as an Associate Professor at the School of Computing Science and Engineering at Galgotias University, Greater Noida, Delhi NCR. He received an ME degree in Computer Science and Engineering from Manonmaniam Sundaranar University, Tamilnadu, India. He completed his full-time PhD degree in Computer Science and Engineering at Manonmaniam Sundaranar University. He received the JRF and SRF during the full-time PhD period. He was a Co-Investigator for two government of India-sponsored funded projects. He has published many reputed international SCI and Scopus-indexed journals and conferences. He is a reviewer of many reputed journals. He has published sixteen patents and one granted design patent in India. He is an Academic Editor in the PlosOne SCIE-indexed journal. He has done the NAAC and NBA accreditation process as a criteria coordinator for the Galgotias University. Dr. D. Murugan works as a Professor in the Department of Computer Science and Engineering, at Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu. He has more than 25 years of experience in teaching and research. He was a Principal Investigator for two government of India-sponsored funded projects. He has published more than 100 reputed international SCI and Scopus-indexed journals and conferences. He has produced more than 20 doctorates under his PhD guidance. He is an Editor and reviewer of many reputed journals. He was a Syndicate member, Interview Committee member, and Inspection Committee for the affiliated colleges of Manonmaniam Sundaranar University. He visited Singapore, Malaysia, and Dubai for academic contributions. Dr. Sherimon P.C. is currently working at the Faculty of Computer Studies, Arab Open University (AOU), Oman. He has 21 years of teaching experience in different institutions. He started his career as a Software Engineer and later joined Mahatma Gandhi University, India. In 2004, he joined the Higher College of Technology and worked as the Head of Section in the IT Department. He joined AOU in 2010. He holds two Master’s Degree, in Computer Science and Information Technology and a Ph.D. Degree in Computer Science. He won the first National Research award from TRC, Oman in Information and Communication Technology sector. He has published around 42 research papers in Springer, ACM, etc. He has presented papers at various International Conferences in the US, UK, Russia, China, Malaysia, India, Kuwait, Jordan, Ajman, and Oman. He worked as Chairman and Scientific committee member in various conferences. He has also delivered Keynote addresses at various conferences. He serves as the reviewer of TRC and other International Journals.