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Ergebnis der Suche nach: "Machine Learning"
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| Link zu diesem Datensatz | https://d-nb.info/1346421951 |
| Titel | AI for Brain Lesion Detection and Trauma Video Action Recognition : First BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 16 and 12, 2023, Proceedings / edited by Rina Bao, Ellen Grant, Andrew Kirkpatrick, Juan Wachs, Yangming Ou |
| Person(en) |
Bao, Rina (Herausgeber) Grant, Ellen (Herausgeber) Kirkpatrick, Andrew (Herausgeber) Wachs, Juan (Herausgeber) Ou, Yangming (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XIV, 95 p. 29 illus., 27 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-71625-6 Printed edition:: ISBN: 978-3-031-71627-0 |
| Inhalt | BONBID-HIE 2023 -- Fusion of Deep and Local Features Using Random Forests for Neonatal HIE Segmentation -- Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy -- An Ensemble Approach for Segmentation of Neonatal HIE lesions -- Improving Segmentation of Hypoxic Ischemic Encephalopathy Lesions by Heavy Data Augmentation: Contribution to the BONBID Challenge -- A Deep Neural Network Approach for the Lesion Segmentation from Neonatal Brain Magnetic Resonance Imaging -- SegResNet based Reciprocal Transformation for BONBID-HIE Lesion Segmentation -- Trauma THOMPSON 2023 -- Overview of the Trauma THOMPSON Challenge at MICCAI 2023 -- The Trauma THOMPSON Challenge Report MICCAI 2023 -- Action Recognition and Action Anticipation Tasks in the Trauma THOMPSON Challenge Technical Report -- QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2410290310506.009477933328 DOI: 10.1007/978-3-031-71626-3 |
| URL | https://doi.org/10.1007/978-3-031-71626-3 |
| ISBN/Einband/Preis | 978-3-031-71626-3 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 14567 |
| DDC-Notation | 616.075 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 610 Medizin, Gesundheit |
| Online-Zugriff | Archivobjekt öffnen |
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