Understanding calibration of deep neural networks for medical image classification

Background and Objective – In the field of medical image analysis, achieving high accuracy is not enough; ensuring well-calibrated predictions is also crucial. Confidence scores of a deep neural network play a pivotal role in explainability by providing insights into the model's certainty, iden...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2023-12, Vol.242, p.107816-107816, Article 107816
Hauptverfasser:	Sambyal, Abhishek Singh, Niyaz, Usma, Krishnan, Narayanan C., Bathula, Deepti R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Calibration Deep neural network Fully-supervised Medical imaging Self-supervised Transfer learning
Online-Zugang:	Volltext
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