Skip to main content
AkademIndex

Products

For developers

AkademBasesoonOpen API for the ecosystem
Latin
← Back to work

Works cited by this work

24 works

Work: Real-Time Polyp Detection and Classification in Colonoscopy Videos Using Lightweight Transformer Networks

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation

    Olaf Ronneberger, Philipp Fischer, Thomas Brox

    Chapter201532 citations
    ABI
  2. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

    Ze Liu, Yutong Lin, Yue Cao +5

    Article20219 citations
    ABI
  3. A Review of Deep-Learning-Based Medical Image Segmentation Methods

    Xiangbin Liu, Liping Song, Shuai Liu +1

    Review article20213 citations
    ABI
  4. Untitled

    Other3 citations
    ABI
  5. PraNet: Parallel Reverse Attention Network for Polyp Segmentation

    Deng-Ping Fan, Ge-Peng Ji, Tao Zhou +4

    Chapter20202 citations
    ABI
  6. Untitled

    Other1 citations
    ABI
  7. Untitled

    Other1 citations
    ABI
  8. Untitled

    Other1 citations
    ABI
  9. Untitled

    Other1 citations
    ABI
  10. Untitled

    Other1 citations
    ABI
  11. Untitled

    Other1 citations
    ABI
  12. Untitled

    Other1 citations
    ABI
  13. Untitled

    Other1 citations
    ABI
  14. Untitled

    Other1 citations
    ABI
  15. Untitled

    Other1 citations
    ABI
  16. Untitled

    Other1 citations
    ABI
  17. Untitled

    Other1 citations
    ABI
  18. Untitled

    Other1 citations
    ABI