Study on automatic detection and classification of breast nodule using deep convolutional neural network system

BACKGROUNDS: Conventional ultrasound manual scanning and artificial diagnosis approaches in breast are considered to be operator-dependence, slight slow and error-prone. In this study, we used Automated Breast Ultrasound (ABUS) machine for the scanning, and deep convolutional neural network (CNN) te...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Feiqian, Liu, Xiaotong, Yuan, Na, Qian, Buyue, Ruan, Litao, Yin, Changchang, Jin, Ciping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578508/
https://www.ncbi.nlm.nih.gov/pubmed/33145042
http://dx.doi.org/10.21037/jtd-19-3013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578508/
https://www.ncbi.nlm.nih.gov/pubmed/33145042
http://dx.doi.org/10.21037/jtd-19-3013

Ejemplares similares