Breast MRI Segmentation and Ki-67 High- and Low-Expression Prediction Algorithm Based on Deep Learning

RESULTS: The DSC, PPV, and sensitivity of our combined model are 0.94, 0.93, and 0.94, respectively, with better segmentation performance. And we compare with the segmentation frameworks of other papers and find that our combined model can make accurate segmentation of breast tumors. CONCLUSION: Our...

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Detalles Bibliográficos
Autores principales: Li, Yuan-Zhe, Huang, Yin-Hui, Su, Xian-yan, Gu, Zhen-qi, Lai, Qing-Quan, Huang, Jing, Li, Shu-Ting, Wang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553330/
https://www.ncbi.nlm.nih.gov/pubmed/36238476
http://dx.doi.org/10.1155/2022/1770531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553330/
https://www.ncbi.nlm.nih.gov/pubmed/36238476
http://dx.doi.org/10.1155/2022/1770531

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