Feasibility of using AI to auto-catch responsible frames in ultrasound screening for breast cancer diagnosis

The research of AI-assisted breast diagnosis has primarily been based on static images. It is unclear whether it represents the best diagnosis image.To explore the method of capturing complementary responsible frames from breast ultrasound screening by using artificial intelligence. We used feature...

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Detalles Bibliográficos
Autores principales: Chen, Jing, Jiang, Yitao, Yang, Keen, Ye, Xiuqin, Cui, Chen, Shi, Siyuan, Wu, Huaiyu, Tian, Hongtian, Song, Di, Yao, Jincao, Wang, Liping, Huang, Sijing, Xu, Jinfeng, Xu, Dong, Dong, Fajin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771726/
https://www.ncbi.nlm.nih.gov/pubmed/36570770
http://dx.doi.org/10.1016/j.isci.2022.105692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771726/
https://www.ncbi.nlm.nih.gov/pubmed/36570770
http://dx.doi.org/10.1016/j.isci.2022.105692

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