Application of Convolution Neural Network Algorithm Based on Multicenter ABUS Images in Breast Lesion Detection

OBJECTIVE: This study aimed to evaluate a convolution neural network algorithm for breast lesion detection with multi-center ABUS image data developed based on ABUS image and Yolo v5. METHODS: A total of 741 cases with 2,538 volume data of ABUS examinations were analyzed, which were recruited from 7...

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Detalles Bibliográficos
Autores principales: Zhang, Jianxing, Tao, Xing, Jiang, Yanhui, Wu, Xiaoxi, Yan, Dan, Xue, Wen, Zhuang, Shulian, Chen, Ling, Luo, Liangping, Ni, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310547/
https://www.ncbi.nlm.nih.gov/pubmed/35898876
http://dx.doi.org/10.3389/fonc.2022.938413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310547/
https://www.ncbi.nlm.nih.gov/pubmed/35898876
http://dx.doi.org/10.3389/fonc.2022.938413

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