Nov 4, 2020 · We propose an esophagus segmentation method using a U-Net neural network combined with several variations of backbones.

We propose an esophagus segmentation method using a U-Net neural network combined with several variations of backbones. We also propose a semiautomatic labeling ...

Nov 18, 2020 · We propose an esophagus segmentation method using a. U-Net neural network combined with several variations of backbones. We also propose a ...

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

We propose an esophagus segmentation method using a U-Net neural network combined with several variations of backbones. We also propose a semiautomatic labeling ...

This work investigates computational method for automatic esophagus segmentation in planning CT. The method is composed of atlas, pre-processing, CNN and ...

U-Net Plus is proposed to segment esophagus and esophageal cancer from a 2-D CT slice by using a skip connection operation that is similar to convolution ...

Jul 2, 2021 · U-Net neural network combined with several variations of backbones [8] is proposed for esophagus segmentation. This is a semi-automatic labeling ...

In the esophagus segmentation, we proposed a method composed of registration techniques, atlas, pre-processing, U-Net, and post-processing. The methods were ...

Li, “Esophagus segmentation in computed tomography images using a u-net neural network with a semiautomatic labeling method,” IEEE Access, vol. 8, pp. 202 ...