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Improving disease classification performance and explainability of deep learning models in radiology with heatmap generators
As deep learning is widely used in the radiology field, the explainability of Artificial Intelligence (AI) models is becoming increasingly essential to gain clinicians’ trust when using the models for diagnosis. In this research, three experiment sets were conducted with a U-Net architecture to impr...
| 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/PMC10365129/ https://www.ncbi.nlm.nih.gov/pubmed/37492678 http://dx.doi.org/10.3389/fradi.2022.991683 |