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End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning
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In
BMC artificial intelligence 1(1),
2025
Online
DOI: 10.1186/s44398-025-00003-8
Einrichtungen
- Lehrstuhl für Maschinelles Lernen in der Radiologie (952210)
- Klinik und Lehrstuhl für Diagnostische und Interventionelle Radiologie (532010-2)
Dokumenttyp
Journal Article
Format
online
Sprache
English
Externe Identnummern
PubMed: pmid:40605934
Interne Identnummern
RWTH-CONV-255295
Datensatz-ID: 1030957
Lizenzstatus der Zeitschrift
Related:
Preprint
End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning
23 Seiten (2025) [10.1101/2025.01.22.25320517]
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