Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach

BACKGROUND: Studies correlating specific genetic mutations and treatment response are ongoing to establish an effective treatment strategy for gastric cancer (GC). To facilitate this research, a cost- and time-effective method to analyze the mutational status is necessary. Deep learning (DL) has bee...

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Detalles Bibliográficos
Autores principales: Jang, Hyun-Jong, Lee, Ahwon, Kang, Jun, Song, In Hye, Lee, Sung Hak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2021
Materias:
Basic Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641056/
https://www.ncbi.nlm.nih.gov/pubmed/34908807
http://dx.doi.org/10.3748/wjg.v27.i44.7687

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641056/
https://www.ncbi.nlm.nih.gov/pubmed/34908807
http://dx.doi.org/10.3748/wjg.v27.i44.7687

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