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

Medical Imaging and Computer-Aided Diagnosis de

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Éditeur :

Springer


Collection :

Lecture Notes in Electrical Engineering

Paru le : 2024-03-05

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Description

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.
Pages
406 pages
Collection
Lecture Notes in Electrical Engineering
Parution
2024-03-05
Marque
Springer
EAN papier
9789819713349
EAN PDF
9789819713356
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
51794 Ko
Prix
231,04 €
EAN EPUB
9789819713356
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
65710 Ko
Prix
231,04 €

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