# Chest X-ray Report Generation

Med-CXRGen-I is a multimodal large language model fine-tuned based on LLaVA-v1.5-7B, specializing in the task of generating radiology reports from chest X-ray images, particularly the impression section.

Med-CXRGen-F is a multimodal large language model fine-tuned based on LLaVA-v1.5-7B, specifically designed for radiology report generation tasks, particularly the automatic generation of chest X-ray examination results.

This is a text generation model based on chest X-ray images, capable of generating radiology impression reports from medical imaging.

This is a medical imaging report generation model based on the VisionEncoderDecoder architecture, specifically designed to generate radiology report texts from chest X-ray images.