Lightweight compound scaling network for nasopharyngeal carcinoma segmentation from mr images

HIGHLIGHTS

• who: Yi Liu and colleagues from the School of Biomedical Engineering, Shenzhen Campus of Yat-sen University, Shenzhen, China have published the paper: Lightweight Compound Scaling Network for Nasopharyngeal Carcinoma Segmentation from MR Images, in the Journal: Sensors 2021, 22, 5875. of /2021/
• what: To enable small and medium-sized hospitals with limited computational resources to run the model smoothly and improve the accuracy of structure the authors propose a new LW-UNet network. Compared with other NPC segmentation models, the model has the following two advantages: the model uses a fixed mixing coefficient to . . .
  

   

  

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