DEEP LEARNING FOR MEDICAL IMAGE ANALYSIS

Download or read book DEEP LEARNING FOR MEDICAL IMAGE ANALYSIS written by Dr. Nilima Rakesh Dhumale and published by Vinsa Publishing. This book was released on 2023-11-23 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning has become a game-changer in the field of medical diagnosis, completely altering how medical images are analysed and interpreted. This comprehensive book, titled "Deep Learning for Medical Image Analysis" provides a thorough exploration of this rapidly evolving field, guiding readers through the intricacies of deep learning and their applications in medical imaging. Authored by experienced Professors in the field, this book probes into the principles of deep learning, methodically explaining the concepts. The authors effectively bridge the gap between theoretical groundworks and practical uses, representing how deep learning can be harnessed to tackle a wide range of medical image analysis tasks. One of the key strengths of this book lies in its comprehensive coverage of various deep learning-based techniques for medical image analysis. From image segmentation and registration to disease classification and prediction, the book methodically explains the application of deep learning in each domain. The authors provide insightful examples and case studies, showcasing the realworld impact of deep learning in medical diagnosis and treatment planning. The book also delves into the challenges and limitations of deep learning in medical image analysis, addressing issues such as data scarcity, bias, and explainability. The authors encourage critical thinking and discussion, emphasizing the importance of responsible AI development in healthcare. "Deep Learning for Medical Image Analysis" serves as an invaluable resource for researchers, practitioners, and students in the fields of medical imaging, computer vision, and artificial intelligence. Its wide-ranging coverage, clear explanations, and practical examples make it an excellent guide for anyone seeking to understand and apply deep learning techniques in the realm of medical image analysis.