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Explaining a Deep Learning Based Breast Ultrasound Image Classifier with Saliency Maps
AIM OF THE STUDY: Deep neural networks have achieved good performance in breast mass classification in ultrasound imaging. However, their usage in clinical practice is still limited due to the lack of explainability of decisions conducted by the networks. In this study, to address the explainability...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Sciendo
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231514/ https://www.ncbi.nlm.nih.gov/pubmed/35811586 http://dx.doi.org/10.15557/JoU.2022.0013 |