Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
Author:   Kenji Suzuki ,  Yisong Chen
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2018
Volume:   140
ISBN:  

9783319886664


Pages:   387
Publication Date:   06 June 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging


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Overview

This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.

Full Product Details

Author:   Kenji Suzuki ,  Yisong Chen
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2018
Volume:   140
Weight:   0.629kg
ISBN:  

9783319886664


ISBN 10:   3319886665
Pages:   387
Publication Date:   06 June 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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