Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images

Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images is a comprehensive book that explores AI-based mammogram analysis methods for medical applications, including ultrasound, MBI, MR, PEM, 3D breast tomosynthesis, and 4D mammogram. It presents deep learning models and hybrid intelligence approaches for early-stage detection and cancer detection, staging, and density assessment.

Format: Paperback / softback
Length: 280 pages
Publication date: 01 November 2023
Publisher: Elsevier Science Publishing Co Inc

Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images is a comprehensive exploration of the diverse array of AI-based mammogram analysis methods for medical applications. The book begins with an introductory overview of mammogram data analysis, covering current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission Mammography (PEM), as well as recent advancements in 3D breast tomosynthesis and 4D mammogram. Each chapter presents deep learning models to demonstrate their effectiveness in efficiently processing breast images.

Furthermore, the book delves into hybrid intelligence approaches for early-stage detection and the utilization of machine learning classifiers for cancer detection, staging, and density assessment, ultimately aiding in the development of appropriate treatment plans. This book serves as a valuable resource for computer scientists and medical practitioners, empowering them to create real-time AI-based mammogram analysis systems while addressing the limitations of current processing methods that hinder real-time applications.

Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780443139994