TeamSemiSuperCV/semi-super
Semi/Self-Supervised Learning on a Pediatric Pneumonia Dataset
This project helps medical imaging specialists and radiologists identify pediatric pneumonia from chest X-rays. It takes raw chest X-ray images as input and provides a confident diagnosis of pediatric pneumonia. The system is especially beneficial for hospitals or clinics that don't have large, fully labeled datasets for training.
No commits in the last 6 months.
Use this if you need an accurate system to detect pediatric pneumonia from chest X-rays, but only have a small amount of labeled data available.
Not ideal if you already have a massive, fully annotated dataset for pediatric pneumonia detection and are not concerned with reducing labeling effort.
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Last pushed
May 08, 2022
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