Simplifying Medical Ultrasound
Produktnummer:
18847c5f066180417385b3bfc264b8ad83
| Themengebiete: | artificial intelligence bioinformatics computer science computer vision deep learning engineering image analysis image processing image quality image reconstruction |
|---|---|
| Veröffentlichungsdatum: | 17.09.2022 |
| EAN: | 9783031169014 |
| Sprache: | Englisch |
| Seitenzahl: | 194 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Aylward, Stephen Baum, Zachary Hu, Yipeng Lee, Su-Lin Min, Zhe Noble, J. Alison |
| Verlag: | Springer International Publishing |
| Untertitel: | Third International Workshop, ASMUS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings |
Produktinformationen "Simplifying Medical Ultrasound"
This book constitutes the proceedings of the Third International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2022, held on September 18, 2022, in conjunction with MICCAI 2022, the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Singapore.The 18 papers presented in this book were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: classification and detection; Segmentation and Reconstruction; and Assessment, Guidance and Robotics.Chapters "Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography" and "3D Cardiac Anatomy Reconstruction from 2D Segmentations: a Study using Synthetic Data" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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