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Automatic identification of myopic maculopathy related imaging features in optic disc region via machine learning methods.

Yuchen DuQiuying ChenYing FanJianfeng ZhuJiangnan HeHaidong ZouDazhen SunBowen XinDavid FengMichael FulhamXiuying WangLisheng WangXun Xu
Published in: Journal of translational medicine (2021)
Machine learning and radiomics method are useful tools for mining more MM-related features from the optic disc region, by which complex or even hidden MM-related features can be discovered and decoded. In this paper, eight new MM-related image features were found, which would be useful for further quantitative study of MM-progression. As a nontrivial byproduct, marked changes between PDCA and MDCA was discovered by both new image features and clinic features.
Keyphrases
  • machine learning
  • deep learning
  • high resolution
  • primary care
  • squamous cell carcinoma
  • computed tomography
  • fluorescence imaging