A Deep-Learning-Based Artificial Intelligence System for the Pathology Diagnosis of Uterine Smooth Muscle Tumor

We aimed to develop an artificial intelligence (AI) diagnosis system for uterine smooth muscle tumors (UMTs) by using deep learning. We analyzed the morphological features of UMTs on whole-slide images (233, 108, and 30 digital slides of leiomyosarcomas, leiomyomas, and smooth muscle tumors of uncer...

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Detalles Bibliográficos
Autores principales: Yu, Haiyun, Luo, Shaoze, Ji, Junyu, Wang, Zhiqiang, Zhi, Wenxue, Mo, Na, Zhong, Pingping, He, Chunyan, Wan, Tao, Jin, Yulan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864148/
https://www.ncbi.nlm.nih.gov/pubmed/36675952
http://dx.doi.org/10.3390/life13010003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864148/
https://www.ncbi.nlm.nih.gov/pubmed/36675952
http://dx.doi.org/10.3390/life13010003

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