A bi-fpn-based encoder-decoder model for lung nodule image segmentation

HIGHLIGHTS

• who: Chandra Sekhara Rao Annavarapu and collaborators from the Indian Institute of Technology (Indian School of Mines), Dhanbad, India have published the article: A Bi-FPN-Based Encoder-Decoder Model for Lung Nodule Image Segmentation, in the Journal: Diagnostics 2023, 13, 1406. of /2023/
• what: From the observation of the DSC score of the U-Det model in Table 3 (82.82%), it is evident that the proposed U-Det model shows significant improvement over U-Net.
• how: This Article proposes a resource-efficient model architecture an end-to-end deep learning approach . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.