Buch, Englisch, Band 723, 950 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1440 g
21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11-13, 2017, Proceedings
Buch, Englisch, Band 723, 950 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1440 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-319-60963-8
Verlag: Springer International Publishing
This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, held in Edinburgh, UK, in July 2017.
The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification.
The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
Weitere Infos & Material
Retinal Imaging.- Ultrasound Imaging.- Cardiovascular Imaging.- Oncology Imaging.- Mammography Image Analysis.- Image Enhancement and Alignment.- Modeling and Segmentation of Preclinical, Body and Histological Imaging.- Feature Detection and Classification.
