Reducing the number of unnecessary biopsies of US-BI-RADS 4a lesions through a deep learning method for residents-in-training: a cross-sectional study

OBJECTIVE: The aim of the study is to explore the potential value of S-Detect for residents-in-training, a computer-assisted diagnosis system based on deep learning (DL) algorithm. METHODS: The study was designed as a cross-sectional study. Routine breast ultrasound examinations were conducted by an...

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Detalles Bibliográficos
Autores principales: Zhao, Chenyang, Xiao, Mengsu, Liu, He, Wang, Ming, Wang, Hongyan, Zhang, Jing, Jiang, Yuxin, Zhu, Qingli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Radiology and Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282415/
https://www.ncbi.nlm.nih.gov/pubmed/32513885
http://dx.doi.org/10.1136/bmjopen-2019-035757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282415/
https://www.ncbi.nlm.nih.gov/pubmed/32513885
http://dx.doi.org/10.1136/bmjopen-2019-035757

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