Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

Explore the cutting-edge advancements in medical imaging with Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics by Le Lu. Published by Springer Nature Switzerland AG in 2020, this comprehensive paperback spans 461 pages and presents a thorough review of the latest deep learning techniques tailored for high-performance disease detection and organ segmentation.

Delve into the intricacies of robust and accurate methods in radiological and pathological imaging modalities, as well as the construction and analysis of extensive radiology databases. This book is essential for professionals and researchers looking to enhance their understanding of deep learning applications in the medical field. Discover how these innovative technologies are transforming clinical informatics and improving patient outcomes in healthcare.