1.

Record Nr.

UNINA9910842494503321

Autore

Su Ruidan

Titolo

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) [[electronic resource] ] : Medical Imaging and Computer-Aided Diagnosis / / edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024

ISBN

981-9713-35-8

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (414 pages)

Collana

Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1166

Altri autori (Persone)

ZhangYu-Dong

FrangiAlejandro F

Disciplina

006

Soggetti

Image processing - Digital techniques

Computer vision

Application software

Computer Imaging, Vision, Pattern Recognition and Graphics

Computer and Information Systems Applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.

Sommario/riassunto

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.