Automatic segmentation of retinal fluid and photoreceptor layer from optical coherence tomography images of diabetic macular edema patients using deep learning and associations with visual acuity

HIGHLIGHTS

• who: Huan-Yu Hsu and collaborators from the Institute of Biophotonics, National Yang Ming Chiao Tung University, Sec-2, Li Nong Street, Taipei, Taiwan have published the article: Automatic Segmentation of Retinal Fluid and Photoreceptor Layer from Optical Coherence Tomography Images of Diabetic Macular Edema Patients Using Deep Learning and Associations with Visual Acuity, in the Journal: Biomedicines 2022, 1269 of /2022/
• what: The authors demonstrate that the segmentation network can be feasibly applied to OCT image segmentation and assist physicians in assessing the severity of the disease. iations. They used amplified-target loss to . . .
  

   

  

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