Swin Transformer Improves the IDH Mutation Status Prediction of Gliomas Free of MRI-Based Tumor Segmentation

Background: Deep learning (DL) could predict isocitrate dehydrogenase (IDH) mutation status from MRIs. Yet, previous work focused on CNNs with refined tumor segmentation. To bridge the gap, this study aimed to evaluate the feasibility of developing a Transformer-based network to predict the IDH muta...

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Detalles Bibliográficos
Autores principales: Wu, Jiangfen, Xu, Qian, Shen, Yiqing, Chen, Weidao, Xu, Kai, Qi, Xian-Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369996/
https://www.ncbi.nlm.nih.gov/pubmed/35956236
http://dx.doi.org/10.3390/jcm11154625

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369996/
https://www.ncbi.nlm.nih.gov/pubmed/35956236
http://dx.doi.org/10.3390/jcm11154625

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