An Empirical Study on Machine Learning Model Calibration for Chest Radiograph Triage

Despite ongoing efforts on improving machine learning model performance, capturing model uncertainty remains a major challenge in medical imaging, an important subject that has been largely overlooked by the community. This work borrows standard model calibration approaches and empirically demonstra...

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Veröffentlicht in:	Medical Imaging and Information Sciences 2021/07/06, Vol.38(2), pp.76-79
Hauptverfasser:	YAO, Li, OLATUNJI, Tobi, LAMARE, Jean-Baptiste, JADHAV, Ashwin, TAHMASEBI, Amir
Format:	Artikel
Sprache:	eng
Schlagworte:	Calibration Labels Learning algorithms Machine learning Medical imaging Natural language processing Radiographs
Online-Zugang:	Volltext
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