DOMINO: Domain-aware Loss for Deep Learning Calibration

Deep learning has achieved the state-of-the-art performance across medical imaging tasks; however, model calibration is often not considered. Uncalibrated models are potentially dangerous in high-risk applications since the user does not know when they will fail. Therefore, this paper proposes a nov...

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Hauptverfasser:	Stolte, Skylar E, Volle, Kyle, Indahlastari, Aprinda, Albizu, Alejandro, Woods, Adam J, Brink, Kevin, Hale, Matthew, Fang, Ruogu
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
Online-Zugang:	Volltext bestellen
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