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

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Bibliographic Details
Meeting name:	International Conference on Medical Imaging and Computer-Aided Diagnosis (2020 : Oxford, England)
Imprint:	Singapore : Springer, 2020.
Description:	1 online resource (254 p.).
Language:	English
Series:	Lecture Notes in Electrical Engineering ; v.633 Lecture notes in electrical engineering ; v. 633.
Subject:	Diagnostic imaging -- Data processing -- Congresses. Diagnosis -- Data processing -- Congresses. Diagnosis -- Data processing Diagnostic imaging -- Data processing Electronic books. Conference papers and proceedings
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12606432

Hidden Bibliographic Details
Varying Form of Title:	MICAD 2020
Other authors / contributors:	Su, Ruidan. Liu, Han.
ISBN:	9789811551994 9811551995 9789811551987 9811551987
Notes:	International conference proceedings. Description based upon print version of record. 4.3 Result Includes author index.
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. 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.
Other form:	Print version: Su, Ruidan Medical Imaging and Computer-Aided Diagnosis : Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) Singapore : Springer Singapore Pte. Limited,c2020 9789811551987
Standard no.:	10.1007/978-981-15-5 10.1007/978-981-15-5199-4

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