Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Author:   Kenji Suzuki ,  Yisong Chen
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2018
Volume:   140
ISBN:  

9783319688428


Pages:   387
Publication Date:   29 January 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $527.97 Quantity:  
Add to Cart

Share |

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging


Add your own review!

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:   1st ed. 2018
Volume:   140
Weight:   0.958kg
ISBN:  

9783319688428


ISBN 10:   3319688421
Pages:   387
Publication Date:   29 January 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
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.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

Aorrng

Shopping Cart
Your cart is empty
Shopping cart
Mailing List