TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification

Author:

Jiao ZhengyangORCID,Peng Xingchen,Wang Yan,Xiao Jianghong,Nie Dong,Wu Xi,Wang Xin,Zhou Jiliu,Shen DinggangORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference52 articles.

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3. Chen, J., Lu, Y., Yu, Q., Luo, X., Adeli, E., Wang, Y., Lu, L., Yuille, A.L., Zhou, Y., 2021. Transunet: transformers make strong encoders for medical image segmentation. arXiv preprint arXiv:2102.04306.

4. Encoder-decoder with atrous separable convolution for semantic image segmentation;Chen,2018

5. Devlin, J., Chang, M.W., Lee, K., Toutanova, K., 2018. Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.

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