Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors

OBJECTIVE: The mitotic count of gastrointestinal stromal tumors (GIST) is closely associated with the risk of planting and metastasis. The purpose of this study was to develop a predictive model for the mitotic index of local primary GIST, based on deep learning algorithm. MATERIALS AND METHODS: Abd...

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Detalles Bibliográficos
Autores principales: Yang, Jiejin, Chen, Zeyang, Liu, Weipeng, Wang, Xiangpeng, Ma, Shuai, Jin, Feifei, Wang, Xiaoying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Gastrointestinal Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909867/
https://www.ncbi.nlm.nih.gov/pubmed/33169545
http://dx.doi.org/10.3348/kjr.2019.0851

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909867/
https://www.ncbi.nlm.nih.gov/pubmed/33169545
http://dx.doi.org/10.3348/kjr.2019.0851

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