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Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) = medical imaging and computer-aided diagnosis /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)/ edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi.
其他題名:	medical imaging and computer-aided diagnosis /
其他題名:	MICAD 2023
其他作者:	Su, Ruidan.
團體作者:	International Conference on Medical Imaging and Computer-Aided Diagnosis
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xiv, 406 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.
Contained By:	Springer Nature eBook
標題:	Diagnostic imaging - Congresses. - Data processing -
電子資源:	https://doi.org/10.1007/978-981-97-1335-6
ISBN:	9789819713356

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) = medical imaging and computer-aided diagnosis /
Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)medical imaging and computer-aided diagnosis /[electronic resource] :MICAD 2023edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi. - Singapore :Springer Nature Singapore :2024. - xiv, 406 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 11661876-1119 ;. - Lecture notes in electrical engineering ;v. 1166..

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. This book includes the state-of-the-art research of computer-aided diagnosis systems with aritificial intelligence. 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: 9789819713356

Standard No.: 10.1007/978-981-97-1335-6doiSubjects--Topical Terms:

893542
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) = medical imaging and computer-aided diagnosis /
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