Data-Driven Clinical Decision-Making Using Deep Learning in Imaging

Discover the transformative power of artificial intelligence in healthcare with Data-Driven Clinical Decision-Making Using Deep Learning in Imaging by M. F. Mridha. Published by Springer Verlag in 2024, this hardback edition spans 274 pages and delves into the innovative applications of deep learning in medical imaging.

This insightful book explores the development of multimodal machine learning models for brain tumor prognosis, showcasing how AI can revolutionize patient outcomes. Additionally, it highlights the identification of unique dermatological signatures through deep transfer learning and demonstrates the use of generative adversarial networks to enhance breast cancer detection systems by augmenting mammogram images.

Whether you're a healthcare professional, researcher, or AI enthusiast, this book provides essential knowledge on the integration of deep learning technologies in clinical settings. Enhance your understanding of data-driven decision-making in medicine today!