Deep convolutional neural network VGG-16 model for differential diagnosing of papillary thyroid carcinomas in cytological images: a pilot study

Objective: In this study, we exploited a VGG-16 deep convolutional neural network (DCNN) model to differentiate papillary thyroid carcinoma (PTC) from benign thyroid nodules using cytological images. Methods: A pathology-proven dataset was built from 279 cytological images of thyroid nodules. The im...

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Detalles Bibliográficos
Autores principales: Guan, Qing, Wang, Yunjun, Ping, Bo, Li, Duanshu, Du, Jiajun, Qin, Yu, Lu, Hongtao, Wan, Xiaochun, Xiang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2019
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775529/
https://www.ncbi.nlm.nih.gov/pubmed/31598159
http://dx.doi.org/10.7150/jca.28769

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775529/
https://www.ncbi.nlm.nih.gov/pubmed/31598159
http://dx.doi.org/10.7150/jca.28769

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