Frontiers of Artificial Intelligence in Medical Imaging (Original PDF from Publisher)

This book is designed to consider the recentadvancements in hospitals to diagnose various diseases accurately using AI-supporteddetection procedures. This work examines recent AI-supported disease detectiontechniques from prominent researchers and clinicians working in the medicalimaging processing domain. Within this book, the integration of various AImethods, such as soft computing, machine learning, deep learning, and otherrelated works will be presented. Real clinical images utilizing AI are incorporated.The book also includes several chapters on machine learning, convoluted neuralnetworks, segmentation, and deep learning-assisted two-class and multi-classclassification.

Key Features:

• Implementation of machine-learning-assisted disease detection

• Implementation of CNN (Convolutional Neural Networks) basedmedical image segmentation and assessment

• Implementation of deep-learning-based medical data assessment

• Hybridizing machine learning and deep learning features to enhancedetection accuracy