Incorporating the Breast Imaging Reporting and Data System Lexicon with a Fully Convolutional Network for Malignancy Detection on Breast Ultrasound

In this study, we applied semantic segmentation using a fully convolutional deep learning network to identify characteristics of the Breast Imaging Reporting and Data System (BI-RADS) lexicon from breast ultrasound images to facilitate clinical malignancy tumor classification. Among 378 images (204...

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Detalles Bibliográficos
Autores principales: Hsieh, Yung-Hsien, Hsu, Fang-Rong, Dai, Seng-Tong, Huang, Hsin-Ya, Chen, Dar-Ren, Shia, Wei-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774546/
https://www.ncbi.nlm.nih.gov/pubmed/35054233
http://dx.doi.org/10.3390/diagnostics12010066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774546/
https://www.ncbi.nlm.nih.gov/pubmed/35054233
http://dx.doi.org/10.3390/diagnostics12010066

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