Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study

BACKGROUND: This retrospective study aims to validate the effectiveness of artificial intelligence (AI) to detect and classify non-mass breast lesions (NMLs) on ultrasound (US) images. METHODS: A total of 228 patients with NMLs and 596 volunteers without breast lesions on US images were enrolled in...

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Detalles Bibliográficos
Autores principales: Li, Guoqiu, Tian, Hongtian, Wu, Huaiyu, Huang, Zhibin, Yang, Keen, Li, Jian, Luo, Yuwei, Shi, Siyuan, Cui, Chen, Xu, Jinfeng, Dong, Fajin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476370/
https://www.ncbi.nlm.nih.gov/pubmed/37667320
http://dx.doi.org/10.1186/s12911-023-02277-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476370/
https://www.ncbi.nlm.nih.gov/pubmed/37667320
http://dx.doi.org/10.1186/s12911-023-02277-2

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