Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data / Lecture Notes in Computer Science Bd.12587 (PDF)
26 DeutschlandCard Punkte sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
The 19 papers presented in this volume were carefully reviewed and selected form numerous submissions. The ABCs challenge aims to identify the best methods of segmenting brain structures that serve as barriers to the spread of brain cancers and structures to be spared from irradiation, for use in computer assisted target definition for glioma and radiotherapy plan optimization. The papers of the L2R challenge cover a wide spectrum of conventional and learning-based registration methods and often describe novel contributions. The main goal of the TN-SCUI challenge is to find automatic algorithms to accurately segment and classify the thyroid nodules in ultrasound images.
*The challenges took place virtually due to the COVID-19 pandemic.
- 2021, 1st ed. 2021, 156 Seiten, Englisch
- Herausgegeben: Nadya Shusharina, Mattias P. Heinrich, Ruobing Huang
- Verlag: Springer International Publishing
- ISBN-10: 3030718271
- ISBN-13: 9783030718275
- Erscheinungsdatum: 12.03.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 48 MB
- Ohne Kopierschutz
- Vorlesefunktion
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data / Lecture Notes in Computer Science Bd.12587".
Kommentar verfassen