Hybrid Machine Intelligence for Medical Image Analysis
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Beschreibung
The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.
The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.
Covers a broad range of potential machine learning and computational intelligence paradigms for medical image analysis Includes an in-depth analysis of hybrid machine intelligence supported by real-world examples Supplemented by coding examples and video demonstrations for each chapter
Autor*in
Siddhartha Bhattacharyya
Themen in »Hybrid Machine Intelligence for Medical Image Analysis«
Machine Learning Pattern Recognition Intelligent Image Analysis Medical Imaging Computational Intelligence MRI Image Analysis Machine Intelligence Biomarkers Computed Tomography (CT) Image