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Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection

Despite impressive state-of-the-art performance on a wide variety of machine learning tasks in multiple applications, deep learning methods can produce over-confident predictions, particularly with limited training data. Therefore, quantifying uncertainty is particularly important in critical applic...

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Detalles Bibliográficos
Autores principales: Akrami, Haleh, Joshi, Anand A., Aydöre, Sergül, Leahy, Richard M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881592/
https://www.ncbi.nlm.nih.gov/pubmed/36712144

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