RTAU-Net: A novel 3D rectal tumor segmentation model based on dual path fusion and attentional guidance

Author:

Li Dengao,Wang Juan,Yang Jicheng,Zhao Jumin,Yang Xiaotang,Cui Yanfen,Zhang Kenan

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference45 articles.

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4. D. Zhang, Y. Lin, H. Chen, Z. Tian, X. Yang, J. Tang, K.T. Cheng, Understanding the tricks of deep learning in medical image segmentation: challenges and future directions, (2023). http://arxiv.org/abs/2209.10307 (accessed September 17, 2023).

5. A feature extraction based support vector machine model for rectal cancer T-stage prediction using MRI images;Wang;Multimed. Tools Appl.,2021

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