RMTF-Net: Residual Mix Transformer Fusion Net for 2D Brain Tumor Segmentation

Due to the complexity of medical imaging techniques and the high heterogeneity of glioma surfaces, image segmentation of human gliomas is one of the most challenging tasks in medical image analysis. Current methods based on convolutional neural networks concentrate on feature extraction while ignori...

Descripción completa

Detalles Bibliográficos
Autores principales: Gai, Di, Zhang, Jiqian, Xiao, Yusong, Min, Weidong, Zhong, Yunfei, Zhong, Yuling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497369/
https://www.ncbi.nlm.nih.gov/pubmed/36138880
http://dx.doi.org/10.3390/brainsci12091145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497369/
https://www.ncbi.nlm.nih.gov/pubmed/36138880
http://dx.doi.org/10.3390/brainsci12091145

Ejemplares similares