Medical Imaging and Computer-Aided Diagnosis

Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) de

,

Éditeur :

Springer


Collection :

Lecture Notes in Electrical Engineering

Paru le : 2020-07-02

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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.
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
244 pages
Collection
Lecture Notes in Electrical Engineering
Parution
2020-07-02
Marque
Springer
EAN papier
9789811551987
EAN PDF
9789811551994

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
29942 Ko
Prix
210,99 €
EAN EPUB
9789811551994

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
37489 Ko
Prix
210,99 €