Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning

This study explores an automatic diagnosis method to predict unnecessary nodule biopsy from a small, unbalanced, and pathologically proven database. The automatic diagnosis method is based on a convolutional neural network (CNN) model. Because of the small and unbalanced samples, the presented metho...

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Detalhes bibliográficos
Publicado no:J Digit Imaging
Main Authors: Han, Fangfang, Yan, Linkai, Chen, Junxin, Teng, Yueyang, Chen, Shuo, Qi, Shouliang, Qian, Wei, Yang, Jie, Moore, William, Zhang, Shu, Liang, Zhengrong
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7256141/
https://ncbi.nlm.nih.gov/pubmed/32144499
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00306-z
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