CRC Press Machine Learning for Medical Image Recognition Book

Explore the intersection of artificial intelligence and healthcare with Machine Learning and Deep Learning Techniques for Medical Image Recognition. Part of the Advances in Smart Healthcare Technologies series, this book provides a comprehensive review of deep learning-based algorithms designed for medical image analysis and processing. Readers will find detailed information on deep learning approaches used for semantic object detection and segmentation within medical image computing. The text also covers large-scale radiology database mining, providing a technical foundation for understanding how automated systems can assist in clinical settings. By focusing on the application of convolutional neural networks, this resource explains the theory and varied selection of techniques used for semantic segmentation. It is a valuable resource for those studying the implementation of deep learning principles to improve medical imaging accuracy and efficiency.