Multiscale lightweight 3D segmentation algorithm with attention mechanism: Brain tumor image segmentation

Author:

Liu Hengxin,Huo Guoqiang,Li Qiang,Guan Xin,Tseng Ming-Lang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

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3. Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., ... & Jambawalikar, S. R. (2018b). Identifying the best machine learning algorithms for brain tumor segmentation, pr- ogression assessment, and overall survival prediction in the BRATS challenge. arXiv prep-rint arXiv:1811.02629. 10.48550/arXiv.1811.02629.

4. Fully convolutional attention network for bio-medical image segmentation;Cheng;Artificial Intelligence in Medicine,2020

5. Lung computed tomography image segme-ntation based on U-Net network fused with dilated convolution;Chen;Computer Methods and Programs in Biomedicine,2021

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