The classification of common macular diseases using deep learning on optical coherence tomography images with and without prior automated segmentation

HIGHLIGHTS

• who: Cheung and colleagues from the Sirindhorn International Institute of Technology, Thammasat University, Pathumthani, Thailand have published the paper: The Classification of Common Macular Diseases Using Deep Learning on Optical Coherence Tomography Images with and without Prior Automated Segmentation, in the Journal: Diagnostics 2023, 13, 189. of 31/Dec/2020
• what: The results of the three models were compared to evaluate the effect of the image segmentation on the classification`s performance. The experiment using each setting was conducted in five iterations, where a different fold was employed as a test for each iteration. The . . .
  

   

  

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