This volume is a useful resource on the utilization of deep learning methodologies in medical imaging, a domain that is swiftly transforming clinical diagnosis and treatment of diseases. It presents fundamental concepts in deep learning and advances to sophisticated techniques, including Convolutional Neural Networks (CNNs) for feature extraction, Fully Convolutional Networks (FCNs) and U-Nets for accurate image segmentation, and Generative Adversarial Networks (GANs) for data augmentation and image enhancement. It examines other Long Short-Term Memory (LSTM) networks for temporal analysis for elucidating intricate spatial connections in high-resolution medical pictures. It comprises a mix of theoretical background, examples of how these strategies have been put into practice, and case studies of both the triumphs and failures of these approaches in actual medical settings. This book highlights the extensive use of deep learning in several medical fields by discussing its potential applications in areas such as early illness identification, retinal imaging, histopathological categorization, and tumor and lesion detection in MRIs and CT scans. The book delves deeper than only technical topics to tackle the specific issues that arise with medical data. These include the importance of data scarcity in instances of uncommon diseases, the ethical concerns related to data privacy and security, and the necessity of interpretability to build confidence among clinicians. To help researchers overcome typical challenges, we also investigate strategies like synthetic data generation, multimodal learning, and transfer learning.

Dr. N. Thirupathi Rao is a Professor and Head of the Medical Image Computing Lab with over 15 years of distinguished experience in teaching, research, administration, and academic leadership at Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India. His areas of specialization include Artificial Intelligence, Deep Learning, Machine Learning, Data Science, Soft Computing, Mathematical Modelling, and Medical Image Analysis. He has made significant contributions to interdisciplinary research with applications in healthcare, diagnostic imaging, communication networks, and intelligent systems. He has published more than 140 research papers in reputed SCI, SCIE, ESCI, and Scopus-indexed journals and international conferences. He has also authored textbooks, book chapters with international publishers, and holds multiple patents in emerging technologies. His research excellence has attracted funded projects from agencies such as DST-SERB and international organizations. Dr. Rao has successfully organized international conferences, served as editor and reviewer for reputed journals, and adjudicated doctoral theses for universities. As an academic mentor, he has guided numerous undergraduate and postgraduate projects while inspiring students and scholars toward innovation, quality research, and professional excellence.

Debnath Bhattacharyya is a Professor at Department of Information Technology, Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India. He was an Invited International Professor of Lincoln University College, Kuala Lumpur, Malaysia, and a Foreign Professor, Department of Multimedia Engineering, Hannam University, South Korea. Currently, he is the Visiting Professor at University of Johannesburg, South Africa and UCSI University, Kuala Lumpur, Malaysia. He completed his PhD (Tech, CSE) from the University of Calcutta, Kolkata. He did his MTech (CSE) from West Bengal University of Technology, Kolkata, India. Dr Bhattacharyya is the Senior Member of IEEE, Senior Member of ACM, ACM SIGKDD, OWASP, Life Member of CSI, India, Senior Member of IACSIT, Singapore and Senior Member of IAENG, Hong Kong. He serves as an editor for several reputed journals (indexed by Scopus, SCI, and WoS). He has published 300 Scopus indexed articles and 160 WoS (Core) indexed papers. His research interests include Security Engineering, Pattern Recognition, Biometric Authentication, Multimodal Biometric Authentication, Data Mining and Image Processing. He has also published 6 books in Computer Science and Engineering.