Retinopathy of Prematurity Detection using Deep Learning based models
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Retinopathy of Prematurity Detection
- Capstone project in collaboration with Narayana Nethralaya Hospitals
- Data consists of over 80k annotated retinal fundus images (reduced from 2040x2040 to 512x512)
- Training models using EfficientNetV2S for -
- Decision classification (urgent treatment, needs follow up, ROP discharge)
- Optic Disc classification
- Anterior Image classification
- ROP staging, Plus disease classification