# Chest X-ray Analysis

This model is a fine-tuned version of facebook/convnextv2-tiny-22k-384 on the CheXpert dataset, primarily used for chest X-ray image classification tasks.

This model is trained on frontal view samples from the CheXpert dataset, combining ViT and GPT2 architectures for generating draft radiology reports.

BioViL-T is a vision-language model focused on analyzing chest X-rays and radiology reports, enhancing performance through temporal multimodal pretraining.

A chest X-ray pneumonia detection model fine-tuned based on the Vision Transformer (ViT) architecture, achieving 95.51% accuracy in pneumonia detection tasks.