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Medical imaging and computer-aided d...

International Conference on Medical Imaging and Computer-Aided Diagnosis ((2022 :)

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Medical imaging and computer-aided diagnosis/ edited by Ruidan Su ... [et al.].
其他題名:	proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) /
其他題名:	MICAD 2022
其他作者:	Ruidan, Su.
團體作者:	International Conference on Medical Imaging and Computer-Aided Diagnosis
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xv, 584 p. :ill., digital ;24 cm.
內容註:	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 -- COVID-19 image processing -- Segmentation -- Pattern recognition -- Feature extraction -- Classifier design -- Machine learning including deep learning -- Radiomics -- CAD workstation design -- Human-computer interaction -- Computer Aided Diagnosis on COVID-19.
Contained By:	Springer Nature eBook
標題:	Diagnostic imaging - Congresses. - Data processing -
電子資源:	https://doi.org/10.1007/978-981-16-6775-6
ISBN:	9789811667756

Medical imaging and computer-aided diagnosis = proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) /
Medical imaging and computer-aided diagnosisproceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) /[electronic resource] :MICAD 2022edited by Ruidan Su ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xv, 584 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 8101876-1119 ;. - Lecture notes in electrical engineering ;v. 810..

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 -- COVID-19 image processing -- Segmentation -- Pattern recognition -- Feature extraction -- Classifier design -- Machine learning including deep learning -- Radiomics -- CAD workstation design -- Human-computer interaction -- Computer Aided Diagnosis on COVID-19.

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: 9789811667756

Standard No.: 10.1007/978-981-16-6775-6doiSubjects--Topical Terms:

893542
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

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