Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) Medical Imaging and Computer-Aided Diagnosis /

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 developm...

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Kaituhi rangatōpū: SpringerLink (Online service)
Ētahi atu kaituhi: Su, Ruidan (Editor), Zhang, Yu-Dong (Editor), Frangi, Alejandro F. (Editor)
Hōputu: Tāhiko īPukapuka
Reo:Ingarihi
I whakaputaina: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Putanga:1st ed. 2024.
Rangatū:Lecture Notes in Electrical Engineering, 1166
Ngā marau:
Urunga tuihono:https://doi.org/10.1007/978-981-97-1335-6
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Whakaahuatanga
Whakarāpopototanga: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.
Whakaahuatanga ōkiko:1 online resource (XIV, 406 p. 171 illus.). 138 illus. in color.
ISBN:9789819713356
ISSN:1876-1119 ;
DOI:10.1007/978-981-97-1335-6