Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination

This research aims to address the problem of discriminating benign cysts from malignant masses in breast ultrasound (BUS) images based on Convolutional Neural Networks (CNNs). The biopsy-proven benchmarking dataset was built from 1422 patient cases containing a total of 2058 breast ultrasound masses...

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Detalles Bibliográficos
Autores principales: Xiao, Ting, Liu, Lei, Li, Kai, Qin, Wenjian, Yu, Shaode, Li, Zhicheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033250/
https://www.ncbi.nlm.nih.gov/pubmed/30035122
http://dx.doi.org/10.1155/2018/4605191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033250/
https://www.ncbi.nlm.nih.gov/pubmed/30035122
http://dx.doi.org/10.1155/2018/4605191

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