Weakly-supervised deep learning for ultrasound diagnosis of breast cancer

Conventional deep learning (DL) algorithm requires full supervision of annotating the region of interest (ROI) that is laborious and often biased. We aimed to develop a weakly-supervised DL algorithm that diagnosis breast cancer at ultrasound without image annotation. Weakly-supervised DL algorithms...

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Detalles Bibliográficos
Autores principales: Kim, Jaeil, Kim, Hye Jung, Kim, Chanho, Lee, Jin Hwa, Kim, Keum Won, Park, Young Mi, Kim, Hye Won, Ki, So Yeon, Kim, You Me, Kim, Won Hwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692405/
https://www.ncbi.nlm.nih.gov/pubmed/34934144
http://dx.doi.org/10.1038/s41598-021-03806-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692405/
https://www.ncbi.nlm.nih.gov/pubmed/34934144
http://dx.doi.org/10.1038/s41598-021-03806-7

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