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Autore: |
Su Ruidan
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Titolo: |
Medical Imaging and Computer-Aided Diagnosis [[electronic resource] ] : Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022) / / edited by Ruidan Su, Yudong Zhang, Han Liu, Alejandro F Frangi
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Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (567 pages) |
Disciplina: | 616.0754 |
Soggetto topico: | Biomedical engineering |
Signal processing | |
Computer vision | |
Biomedical Engineering and Bioengineering | |
Digital and Analog Signal Processing | |
Computer Vision | |
Altri autori: |
ZhangYudong
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Nota di contenuto: | 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. |
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. 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. . |
Titolo autorizzato: | Medical Imaging and Computer-Aided Diagnosis ![]() |
ISBN: | 9789811667756 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910799235003321 |
Lo trovi qui: | Univ. Federico II |
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