Predicting colorectal cancer microsatellite instability with a self-attention-enabled convolutional neural network

This study develops a method combining a convolutional neural network model, INSIGHT, with a self-attention model, WiseMSI, to predict microsatellite instability (MSI) based on the tiles in colorectal cancer patients from a multicenter Chinese cohort. After INSIGHT differentiates tumor tiles from no...

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Detalles Bibliográficos
Autores principales: Chang, Xiaona, Wang, Jianchao, Zhang, Guanjun, Yang, Ming, Xi, Yanfeng, Xi, Chenghang, Chen, Gang, Nie, Xiu, Meng, Bin, Quan, Xueping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975100/
https://www.ncbi.nlm.nih.gov/pubmed/36720223
http://dx.doi.org/10.1016/j.xcrm.2022.100914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975100/
https://www.ncbi.nlm.nih.gov/pubmed/36720223
http://dx.doi.org/10.1016/j.xcrm.2022.100914

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