Medical imaging and computer-aided diagnosis: proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022)

Su Ruidan; Yudong Zhang; Han Liu; Alejandro F Frangi

doi:10.1007/978-981-16-6775-6

Medical imaging and computer-aided diagnosis: proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022)

Su Ruidan (Editor), Yudong Zhang (Editor), Han Liu (Editor), Alejandro F Frangi (Editor)

Research output: Book/Report › Book

Abstract

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, humancomputer interaction, databases, and performance evaluation

Original language	English
Place of Publication	Singapore
Publisher	Springer London
Number of pages	567
ISBN (Print)	9811667756, 9811667748, 9789811667756, 9789811667749
DOIs	https://doi.org/10.1007/978-981-16-6775-6
Publication status	Published - 2023

Publication series

Name	Lecture notes in electrical engineering
Volume	v. 810

Name	MICAD: International Conference on Medical Imaging and Computer-Aided Diagnosis

Keywords

Diagnostic imaging
Diagnosis
Medical Imaging
Computer Aided Diagnosis
Artificial Intelligence
Big data
MICAD 2021

Access to Document

10.1007/978-981-16-6775-6

Cite this

Ruidan, S., Zhang, Y., Liu, H., & F Frangi, A. (Eds.) (2023). Medical imaging and computer-aided diagnosis: proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022). (Lecture notes in electrical engineering; Vol. v. 810), (MICAD: International Conference on Medical Imaging and Computer-Aided Diagnosis). Springer London. https://doi.org/10.1007/978-981-16-6775-6

Ruidan, Su (Editor) ; Zhang, Yudong (Editor) ; Liu, Han (Editor) et al. / Medical imaging and computer-aided diagnosis : proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022). Singapore : Springer London, 2023. 567 p. (Lecture notes in electrical engineering). (MICAD: International Conference on Medical Imaging and Computer-Aided Diagnosis).

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title = "Medical imaging and computer-aided diagnosis: proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022)",

abstract = "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, humancomputer interaction, databases, and performance evaluation",

keywords = "Diagnostic imaging, Diagnosis, Medical Imaging, Computer Aided Diagnosis, Artificial Intelligence, Big data, MICAD 2021",

editor = "Su Ruidan and Yudong Zhang and Han Liu and {F Frangi}, Alejandro",

year = "2023",

doi = "10.1007/978-981-16-6775-6",

language = "English",

isbn = "9811667756",

series = "Lecture notes in electrical engineering",

publisher = "Springer London",

address = "United Kingdom",

}

Ruidan, S, Zhang, Y, Liu, H & F Frangi, A (eds) 2023, Medical imaging and computer-aided diagnosis: proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022). Lecture notes in electrical engineering, vol. v. 810, MICAD: International Conference on Medical Imaging and Computer-Aided Diagnosis, Springer London, Singapore. https://doi.org/10.1007/978-981-16-6775-6

Medical imaging and computer-aided diagnosis: proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022). / Ruidan, Su (Editor); Zhang, Yudong (Editor); Liu, Han (Editor) et al.
Singapore: Springer London, 2023. 567 p. (Lecture notes in electrical engineering; Vol. v. 810), (MICAD: International Conference on Medical Imaging and Computer-Aided Diagnosis).

Research output: Book/Report › Book

TY - BOOK

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Y1 - 2023

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AB - 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, humancomputer interaction, databases, and performance evaluation

KW - Diagnostic imaging

KW - Diagnosis

KW - Medical Imaging

KW - Computer Aided Diagnosis

KW - Artificial Intelligence

KW - Big data

KW - MICAD 2021

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SN - 9811667748

SN - 9789811667756

SN - 9789811667749

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BT - Medical imaging and computer-aided diagnosis

PB - Springer London

CY - Singapore

ER -

Ruidan S, (ed.), Zhang Y, (ed.), Liu H, (ed.), F Frangi A, (ed.). Medical imaging and computer-aided diagnosis: proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022). Singapore: Springer London, 2023. 567 p. (Lecture notes in electrical engineering). (MICAD: International Conference on Medical Imaging and Computer-Aided Diagnosis). doi: 10.1007/978-981-16-6775-6

Medical imaging and computer-aided diagnosis: proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022)

Abstract

Publication series

Keywords

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