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

Wu, Jiangfen; Xu, Qian; Shen, Yiqing; Chen, Weidao; Xu, Kai; Qi, Xian-Rong

Wu, Jiangfen; Xu, Qian; Shen, Yiqing; Chen, Weidao; Xu, Kai; Qi, Xian-Rong.

Afiliação

Wu J; Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery System, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Xu Q; Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100191, China.
Shen Y; InferVision Institute of Research, Infervision, Chaoyang District, Beijing 100025, China.
Chen W; Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China.
Xu K; InferVision Institute of Research, Infervision, Chaoyang District, Beijing 100025, China.
Qi XR; School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200000, China.

J Clin Med ; 11(15)2022 Aug 08.

Article em En | MEDLINE | ID: mdl-35956236

Palavras-chave

IDH mutation status; ResNet; Swin transformer; bounding box; image inputs

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google