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Medical imaging and computer-aided d...

International Conference on Medical Imaging and Computer-Aided Diagnosis ((2020 :)

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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:	Electronic resources : 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) /
remainder title:	MICAD 2020
other author:	Su, Ruidan.
corporate name:	International Conference on Medical Imaging and Computer-Aided Diagnosis
Published:	Singapore :Springer Singapore : : 2020.,
Description:	x, 244 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imaging - Congresses. - Data processing -
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] :MICAD 2020edited by Ruidan Su, Han Liu. - Singapore :Springer Singapore :2020. - x, 244 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v.6331876-1100 ;. - Lecture notes in electrical engineering ;v.633..

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:

893542
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53 / I57 2020

Dewey Class. No.: 616.0754

Medical imaging and computer-aided diagnosis = proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) /
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520 $a 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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