# Pathological image feature extraction

A foundational Vision Transformer model based on the DINOv2 framework, pre-trained on a private dataset of 1.2 billion pathological images, specifically designed for digital pathology.

An image classification model based on the Vision Transformer (ViT), trained on 33 million histological sections using the DINO self-supervised learning method, suitable for pathological image classification tasks.