AI-Supported Disease Detection in Hospitals: Recent Advancements and Techniques

This book, written by Navid Razmjooy, delves into the latest developments in hospitals that leverage AI-supported detection procedures to accurately diagnose various diseases. The work brings together cutting-edge research from renowned researchers and clinicians in the medical imaging processing domain.

Exploring AI-Supported Disease Detection Techniques

The book presents a comprehensive overview of recent AI-supported disease detection techniques, including soft computing, machine learning, deep learning, and related works. It incorporates real clinical images that showcase the power of AI in medical imaging.

Machine Learning, Convolutional Neural Networks, and Deep Learning

Several chapters focus on machine learning, convoluted neural networks, segmentation, and deep learning-assisted two-class and multi-class classification. These topics provide readers with a deeper understanding of AI’s role in medical image analysis.

Key Features and Applications

• Implementation of machine-learning-assisted disease detection
• Implementation of CNN (Convolutional Neural Networks) based medical image segmentation and assessment
• Implementation of deep-learning-based medical data assessment
• Hybridizing machine learning and deep learning features to enhance detection accuracy

Publisher: Institute of Physics Publishing; Publication Date: December 29, 2022; Language: English; ISBN: 9780750340106, 9780750340120