Medical imaging and computer-aided diagnosis : proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) / Ruidan Su, Yudong Zhang, Han Liu, Alejandro F Frangi, editors.

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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Bibliographic Details
Corporate Author: International Conference on Medical Imaging and Computer-Aided Diagnosis Leicester, England
Other Authors: Ruidan, Su, Zhang, Yudong, Liu, Han, F Frangi, Alejandro
Format: eBook
Language:English
Published: Singapore : Springer, 2023.
Series:Lecture notes in electrical engineering ; v. 810.
Subjects:
Online Access:Click for online access

MARC

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246 3 |a MICAD 2022 
260 |a Singapore :  |b Springer,  |c 2023. 
300 |a 1 online resource (567 p.). 
490 1 |a Lecture notes in electrical engineering ;  |v v. 810 
505 0 |a Optical and Photo-acoustic Imaging -- Image Analysis and Signal Processing -- Shape Representation and Analysis -- Image Reconstruction -- Imaging and Genomics -- Image Guided Surgery -- Image-Guided Interventions and Surgery -- COVID-19 image processing -- Segmentation -- Pattern recognition -- Feature extraction -- Classifier design -- Machine learning including deep learning -- Radiomics -- CAD workstation design -- Human-computer interaction -- Computer Aided Diagnosis on COVID-19. 
520 |a 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, humancomputer interaction, databases, and performance evaluation. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed January 3, 2024). 
650 0 |a Diagnostic imaging  |x Data processing  |v Congresses. 
650 0 |a Diagnosis  |x Data processing  |v Congresses. 
700 1 |a Ruidan, Su. 
700 1 |a Zhang, Yudong. 
700 1 |a Liu, Han. 
700 1 |a F Frangi, Alejandro. 
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830 0 |a Lecture notes in electrical engineering ;  |v v. 810. 
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