Deep Convolutional Neural Networks Detect Tumor Genotype from Pathological Tissue Images in Gastrointestinal Stromal Tumors

SIMPLE SUMMARY: In this study, we established four convolutional neural network (DCNN) models (AlexNet, ResNet101, DenseNet201, and InceptionV3) to predict drug-sensitive mutations from images of tissues with gastrointestinal stromal tumors. The treatment of these tumors depends on the mutational su...

Descripción completa

Detalles Bibliográficos
Autores principales: Liang, Cher-Wei, Fang, Pei-Wei, Huang, Hsuan-Ying, Lo, Chung-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616403/
https://www.ncbi.nlm.nih.gov/pubmed/34830948
http://dx.doi.org/10.3390/cancers13225787

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616403/
https://www.ncbi.nlm.nih.gov/pubmed/34830948
http://dx.doi.org/10.3390/cancers13225787

Ejemplares similares