Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) [electronic resource] : Medical Imaging and Computer-Aided Diagnosis / edited by Ruidan Su, Yu-Dong Zhang, Han Liu.

Contributor(s):

Material type: Text

TextLanguage: İngilizce Series: Lecture Notes in Electrical Engineering ; 784Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789811638800

Subject(s):

NLM classification:

WN 180

Online resources:

Springer eBooks Online access link to the resource

Contents:

Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.

Summary: 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. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. 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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Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Notes	Date due	Barcode
E-Book	Tıp Fakültesi Medikal Kütüphane	Tıp Fakültesi Medikal Kütüphane	E-Kitap Koleksiyonu	WN 180EBK (Browse shelf(Opens below))	1	Geçerli değil-e-Kitap / Not applicable-e-Book	BMM		EBK03357

Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.

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. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. 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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