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200810 ||| eng |
020 |
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|a 9789811551994
|
100 |
1 |
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|a Su, Ruidan
|e [editor]
|
245 |
0 |
0 |
|a Medical Imaging and Computer-Aided Diagnosis
|h Elektronische Ressource
|b Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020)
|c edited by Ruidan Su, Han Liu
|
250 |
|
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|a 1st ed. 2020
|
260 |
|
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|a Singapore
|b Springer Nature Singapore
|c 2020, 2020
|
300 |
|
|
|a X, 244 p. 107 illus., 76 illus. in color
|b online resource
|
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 -- Segmentation -- Pattern recognition -- Feature extraction -- Classifier design -- Machine learning including deep learning -- Radiomics -- CAD workstation design -- Human-computer interaction
|
653 |
|
|
|a Computer vision
|
653 |
|
|
|a Biomedical engineering
|
653 |
|
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|a Radiology
|
653 |
|
|
|a Computer Vision
|
653 |
|
|
|a Biomedical Engineering and Bioengineering
|
653 |
|
|
|a Signal, Speech and Image Processing
|
653 |
|
|
|a Signal processing
|
653 |
|
|
|a Automated Pattern Recognition
|
653 |
|
|
|a Pattern recognition systems
|
700 |
1 |
|
|a Liu, Han
|e [editor]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a Lecture Notes in Electrical Engineering
|
028 |
5 |
0 |
|a 10.1007/978-981-15-5199-4
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-15-5199-4?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 610.28
|
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, human–computer interaction, databases, and performance evaluation.
|