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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Detalles Bibliográficos

Publicado en:	Journal of Digital Imaging Vol. 33; no. 3; pp. 685 - 697
Autores principales:	Han, Fangfang, Yan, Linkai, Chen, Junxin, Teng, Yueyang, Chen, Shuo, Qi, Shouliang, Qian, Wei, Yang, Jie, Moore, William, Zhang, Shu, Liang, Zhengrong
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Jun2020
Acceso en línea:	Ver este registro en EBSCOhost