An Instance Segmentation Model Based on Deep Learning for Intelligent Diagnosis of Uterine Myomas in MRI

Uterine myomas affect 70% of women of reproductive age, potentially impacting their fertility and health. Manual film reading is commonly used to identify uterine myomas, but it is time-consuming, laborious, and subjective. Clinical treatment requires the consideration of the positional relationship...

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Detalles Bibliográficos
Autores principales: Pan, Haixia, Zhang, Meng, Bai, Wenpei, Li, Bin, Wang, Hongqiang, Geng, Haotian, Zhao, Xiaoran, Zhang, Dongdong, Li, Yanan, Chen, Minghuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177878/
https://www.ncbi.nlm.nih.gov/pubmed/37174917
http://dx.doi.org/10.3390/diagnostics13091525

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177878/
https://www.ncbi.nlm.nih.gov/pubmed/37174917
http://dx.doi.org/10.3390/diagnostics13091525

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