Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia

Wee Shin Lim, Heng-Yen Ho, Heng-Chen Ho, Yan-Wu Chen, Chih-Kuo Lee, Pao-Ju Chen, Feipei Lai, Jyh-Shing Roger Jang, Mei-Lan Ko. Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia. BMC Medical Imaging, 22(1):206, 2022. [doi]

@article{LimHHCLCLJK22,
  title = {Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia},
  author = {Wee Shin Lim and Heng-Yen Ho and Heng-Chen Ho and Yan-Wu Chen and Chih-Kuo Lee and Pao-Ju Chen and Feipei Lai and Jyh-Shing Roger Jang and Mei-Lan Ko},
  year = {2022},
  doi = {10.1186/s12880-022-00933-z},
  url = {https://doi.org/10.1186/s12880-022-00933-z},
  researchr = {https://researchr.org/publication/LimHHCLCLJK22},
  cites = {0},
  citedby = {0},
  journal = {BMC Medical Imaging},
  volume = {22},
  number = {1},
  pages = {206},
}