Medical Imaging and Computer-Aided Diagnosis - Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) (Hardcover, 1st ed. 2020)


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.

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Product 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.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Lecture Notes in Electrical Engineering, 633

Release date

July 2020

Availability

Expected to ship within 12 - 17 working days

First published

2020

Editors

,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

244

Edition

1st ed. 2020

ISBN-13

978-981-15-5198-7

Barcode

9789811551987

Categories

LSN

981-15-5198-7



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