A Vision Transformer Based Deep Learning Architecture for Automatic Diagnosis of Diabetic Retinopathy in Optical Coherence Tomography Angiography.
Sungjin ChoiBosoung JeounJaeyoung AnhJae-hyup JeongYongjin ChoiDowan KwonUnho KimSeoyoung ShinPublished in: MIDOG/DRAC@MICCAI (2022)
Keyphrases
- deep learning
- automatic diagnosis
- diabetic retinopathy
- early detection
- optical coherence tomography
- retinal images
- fundus images
- motion artifacts
- unsupervised learning
- coronary artery
- automatic detection
- blood vessels
- computer vision
- breast cancer
- image processing
- lung cancer
- imaging modalities
- machine learning
- cross section
- region of interest
- feature extraction
- decision making