Enhancing Surgical Visualization: Feasibility Study on GAN-Based Image Generation for Post Operative Cleft Palate Images

Daniel Anojan Atputharuban, Christoph Theopold, Aonghus Lawlor. Enhancing Surgical Visualization: Feasibility Study on GAN-Based Image Generation for Post Operative Cleft Palate Images. In Modesto Castrillón Santana, Maria De Marsico, Ana L. N. Fred, editors, Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024, Rome, Italy, February 24-26, 2024. pages 939-945, SCITEPRESS, 2024. [doi]

@inproceedings{AtputharubanTL24,
  title = {Enhancing Surgical Visualization: Feasibility Study on GAN-Based Image Generation for Post Operative Cleft Palate Images},
  author = {Daniel Anojan Atputharuban and Christoph Theopold and Aonghus Lawlor},
  year = {2024},
  doi = {10.5220/0012576900003654},
  url = {https://doi.org/10.5220/0012576900003654},
  researchr = {https://researchr.org/publication/AtputharubanTL24},
  cites = {0},
  citedby = {0},
  pages = {939-945},
  booktitle = {Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024, Rome, Italy, February 24-26, 2024},
  editor = {Modesto Castrillón Santana and Maria De Marsico and Ana L. N. Fred},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-684-2},
}