xianlin7
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1 year ago Following the setting of most transformer-based methods [1,2,3,4,5,6,7,8] ]the same train-test data split is adopted to select 18 CT scans for training and the rest 12 CT scans for testing, and eight of 13 organs are used for evaluation. [1] Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L Yuille, and Yuyin Zhou. Transunet: Transformers make strong encoders for medical image segmentation. [2] Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, and Yizhou Yu. nnformer: Interleaved transformer for volumetric segmentation. arXiv preprint arXiv:2109.03201, 2021. [3] Wentao Liu, Tong Tian, Weijin Xu, Huihua Yang, Xipeng Pan, Songlin Yan, and Lemeng Wang. Phtrans: Parallelly aggregating global and local representations for medical image segmentation. In MICCAI, pages 235–244. Springer, 2022. [4] Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, and Manning Wang. Swin-unet: Unet-like pure transformer for medical image segmentation. arXiv preprint arXiv:2105.05537, 2021. [5] Yutong Xie, Jianpeng Zhang, Chunhua Shen, and Yong Xia. Cotr: Efficiently bridging cnn and transformer for 3d medical image segmentation. In MICCAI, pages 171–180. Springer, 2021. [6] Chenyu You, Ruihan Zhao, Fenglin Liu, Sandeep Chinchali, Ufuk Topcu, Lawrence Staib, and James S Duncan. Class-aware generative adversarial transformers for medical image segmentation. arXiv preprint arXiv:2201.10737, 2022. [7] Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, and Ruofeng Tong. Mixed transformer u-net for medical image segmentation. In ICASSP, pages 2390–2394. IEEE, 2022. [8] Guoping Xu, Xingrong Wu, Xuan Zhang, and Xinwei He. Levit-unet: Make faster encoders with transformer for medical image segmentation. arXiv preprint arXiv:2107.08623, 2021.
Dear Dr. Lin, I have some questions about this research dataset, I see that the validation dataset and the test dataset in the code seem to be the same, whether this will bias the results, I look forward to your answer, I wish you a happy life.