Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images.
Model initialization techniques are vital for improving the performance and reliability of deep learning models in medical computer vision applications. While much literature exists on non-medical images, the impacts on medical images, particularly chest X-rays (CXRs) are less understood. Addressing...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2024-01-01
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Series: | PLOS Digital Health |
Online Access: | https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000286&type=printable |