Using deep convolutional neural networks for multi-classification of thyroid tumor by histopathology: a large-scale pilot study

BACKGROUND: To explore whether deep convolutional neural networks (DCNNs) have the potential to improve diagnostic efficiency and increase the level of interobserver agreement in the classification of thyroid nodules in histopathological slides. METHODS: A total of 11,715 fragmented images from 806...

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Detalhes bibliográficos
Publicado no:Ann Transl Med
Main Authors: Wang, Yunjun, Guan, Qing, Lao, Iweng, Wang, Li, Wu, Yi, Li, Duanshu, Ji, Qinghai, Wang, Yu, Zhu, Yongxue, Lu, Hongtao, Xiang, Jun
Formato: Artigo
Idioma:Inglês
Publicado em: AME Publishing Company 2019
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Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6803184/
https://ncbi.nlm.nih.gov/pubmed/31700904
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/atm.2019.08.54
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