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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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Опубликовано в: :Expert Syst Appl
Главные авторы: Shen, Shiwen, Han, Simon X, Aberle, Denise R, Bui, Alex A, Hsu, William
Формат: Artigo
Язык:Inglês
Опубликовано: 2019
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Online-ссылка: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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