# Medical Auxiliary Diagnosis

A diabetic retinopathy classification model based on Vision Transformer (ViT) architecture for automatic analysis of fundus images

A baby cry recognition model fine-tuned based on the distilhubert model, achieving an accuracy of 86.96% on the evaluation set

A baby cry classification model fine-tuned based on distilhubert, performing well on audio classification tasks

A video analysis model fine-tuned based on the VideoMAE foundation model, specializing in eye contact recognition tasks related to Autism Spectrum Disorder (ASD)

A dental image classification model based on the PyTorch framework and auto-generated by HuggingPics, capable of identifying three dental conditions: healthy teeth, missing teeth, and dental caries.

A tooth image classification model based on the PyTorch framework, capable of identifying three states: healthy teeth, missing teeth, and dental caries