Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) [electronic resource] : Medical Imaging and Computer-Aided Diagnosis / edited by Ruidan Su, Yu-Dong Zhang, Han Liu.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9789811638800
- Biomedical engineering
- Signal processing
- Computer vision
- Pattern recognition systems
- Radiology
- Biomedical Engineering and Bioengineering
- Digital and Analog Signal Processing
- Computer Vision
- Automated Pattern Recognition
- Radiology
- Diagnosis -- Data processing -- Congresses
- Diagnostic imaging -- Data processing -- Congresses
- WN 180
Item type | Current library | Home library | Collection | Call number | Copy number | Status | Notes | Date due | Barcode | |
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Tıp Fakültesi Medikal Kütüphane | Tıp Fakültesi Medikal Kütüphane | E-Kitap Koleksiyonu | WN 180EBK (Browse shelf(Opens below)) | 1 | Geçerli değil-e-Kitap / Not applicable-e-Book | BMM | EBK03357 |
Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.
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. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. 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. .
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