Medical Imaging and Computer-Aided Diagnosis Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) / [electronic resource] :
edited by Ruidan Su, Han Liu.
- 1st ed. 2020.
- X, 244 p. 107 illus., 76 illus. in color. online resource.
- Lecture Notes in Electrical Engineering, 633 1876-1119 ; .
- Lecture Notes in Electrical Engineering, 633 .
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 -- Segmentation -- Pattern recognition -- Feature extraction -- Classifier design -- Machine learning including deep learning -- Radiomics -- CAD workstation design -- Human-computer interaction.
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. .
9789811551994
10.1007/978-981-15-5199-4 doi
Biomedical engineering.
Signal processing.
Computer vision.
Pattern recognition systems.
Radiology.
Biomedical Engineering and Bioengineering.
Signal, Speech and Image Processing .
Computer Vision.
Automated Pattern Recognition.
Radiology.
R856-857
610.28
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 -- Segmentation -- Pattern recognition -- Feature extraction -- Classifier design -- Machine learning including deep learning -- Radiomics -- CAD workstation design -- Human-computer interaction.
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. .
9789811551994
10.1007/978-981-15-5199-4 doi
Biomedical engineering.
Signal processing.
Computer vision.
Pattern recognition systems.
Radiology.
Biomedical Engineering and Bioengineering.
Signal, Speech and Image Processing .
Computer Vision.
Automated Pattern Recognition.
Radiology.
R856-857
610.28