Medical Imaging and Computer-Aided Diagnosis
Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020)
Series: Lecture Notes in Electrical Engineering; 633;
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Product details:
- Edition number 1st ed. 2020
- Publisher Springer Nature Singapore
- Date of Publication 3 July 2021
- Number of Volumes 1 pieces, Book
- ISBN 9789811552014
- Binding Paperback
- See also 9789811551987
- No. of pages244 pages
- Size 235x155 mm
- Weight 403 g
- Language English
- Illustrations X, 244 p. 107 illus., 76 illus. in color. Illustrations, black & white 167
Categories
Long description:
This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging.
Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.
Table of Contents:
Optical and Photo-acoustic Imaging.- Image Analysis and Signal Processing.- Shape Representation and Analysis.- Image Reconstruction.- Imaging and Genomics.- Image Guided Surgery.- Image-Guided Interventions and Surgery.- Segmentation.- Pattern recognition.- Feature extraction.- Classifier design.- Machine learning including deep learning.- Radiomics.- CAD workstation design.- Human-computer interaction.
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