SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. Gorade, V., Mittal, S., Jha, D., & Bagci, U. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, pages 7753–7762, 2024.
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/wacv/GoradeMJB24,
  author       = {Vandan Gorade and
                  Sparsh Mittal and
                  Debesh Jha and
                  Ulas Bagci},
  title        = {SynergyNet: Bridging the Gap between Discrete and Continuous Representations
                  for Precise Medical Image Segmentation},
  booktitle    = {{IEEE/CVF} Winter Conference on Applications of Computer Vision, {WACV}
                  2024, Waikoloa, HI, USA, January 3-8, 2024},
  pages        = {7753--7762},
  year         = {2024},
  crossref     = {DBLP:conf/wacv/2024},
  url          = {https://doi.org/10.1109/WACV57701.2024.00759},
  doi          = {10.1109/WACV57701.2024.00759},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/wacv/GoradeMJB24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0