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Medical Imaging and Computer-Aided Diagnosis = Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Medical Imaging and Computer-Aided Diagnosis/ edited by Ruidan Su, Han Liu.
Reminder of title:	Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) /
other author:	Su, Ruidan.
Description:	X, 244 p. 107 illus., 76 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biomedical engineering. -
Online resource:	https://doi.org/10.1007/978-981-15-5199-4
ISBN:	9789811551994

Medical Imaging and Computer-Aided Diagnosis = Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) /
Medical Imaging and Computer-Aided DiagnosisProceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) /[electronic resource] :edited by Ruidan Su, Han Liu. - 1st ed. 2020. - X, 244 p. 107 illus., 76 illus. in color.online resource. - Lecture Notes in Electrical Engineering,6331876-1100 ;. - Lecture Notes in Electrical Engineering,317.

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.

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. .

ISBN: 9789811551994

Standard No.: 10.1007/978-981-15-5199-4doiSubjects--Topical Terms:

588770
Biomedical engineering.

LC Class. No.: R856-857

Dewey Class. No.: 610.28

Medical Imaging and Computer-Aided Diagnosis = Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) /
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