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Robust and accurate pulmonary nodule detection with self-supervised feature learning on domain adaptation
Medical imaging data annotation is expensive and time-consuming. Supervised deep learning approaches may encounter overfitting if trained with limited medical data, and further affect the robustness of computer-aided diagnosis (CAD) on CT scans collected by various scanner vendors. Additionally, the...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365286/ https://www.ncbi.nlm.nih.gov/pubmed/37492669 http://dx.doi.org/10.3389/fradi.2022.1041518 |