Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Presents a comprehensive overview of the state of the art in artificial intelligence for medical-image-based diagnosis and treatment

Demonstrates that intelligent technologies have now reached the practical level and are rapidly becoming available in clinical practices in hospitals

Medical imaging offers essential information on patients medical condition

Inhalt
Multi-modality Feature Learning in Diagnoses of Alzheimer's Disease.- A Comparative Study of Modern Machine Learning Approaches for Focal Lesion Detection and Classification in Medical Images: BoVW, CNN and MTANN.- Introduction to Binary Coordinate Ascent: New Insights into Efficient Feature Subset Selection for Machine Learning.- Automated Lung Nodule Detection Using Positron Emission Tomography/Computed Tomography.- Detecting Mammographic Masses via Image Retrieval and Discriminative Learning.

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