VLMs for OOD Chest X-ray images detection.
- Achieve 96% f1-score with CheXZero Image Embeddings + Isolation Forest. check the ipynb
- Improved AUC scores for each class (51% normal, 66% exclude) in zero-shot classification by detailing the model's input prompt. check the ipynb
All data was acquired from the Padchest dataset. 1932 images splitted in 1821 'normal' images and 111 'exclude' images, a.k.a, ood images.