"Cross X-AI: Explainable Semantic Segmentation of Laparoscopic Images in ..."

Francesco Bardozzo et al. (2022)

> Home

Details and statistics

DOI: 10.1109/IJCNN55064.2022.9892345

access: closed

type: Conference or Workshop Paper

metadata version: 2022-12-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ijcnn/BardozzoPCFHT22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcnn/BardozzoPCFHT22
Francesco Bardozzo, Mattia delli Priscoli, Toby Collins, Antonello Forgione, Alexandre Hostettler, Roberto Tagliaferri:
Cross X-AI: Explainable Semantic Segmentation of Laparoscopic Images in Relation to Depth Estimation. IJCNN 2022: 1-8

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.