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Deep learning model calibration for improving performance in class-imbalanced medical image classification tasks
In medical image classification tasks, it is common to find that the number of normal samples far exceeds the number of abnormal samples. In such class-imbalanced situations, reliable training of deep neural networks continues to be a major challenge, therefore biasing the predicted class probabilit...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794113/ https://www.ncbi.nlm.nih.gov/pubmed/35085334 http://dx.doi.org/10.1371/journal.pone.0262838 |