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An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification
While deep learning methods have demonstrated performance comparable to human readers in tasks such as computer-aided diagnosis, these models are difficult to interpret, do not incorporate prior domain knowledge, and are often considered as a “black-box.” The lack of model interpretability hinders t...
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| Publicat a: | Expert Syst Appl |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6623975/ https://ncbi.nlm.nih.gov/pubmed/31296975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.eswa.2019.01.048 |
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