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Hibou L
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Hibou L

Developed by histai
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.
Image Classification
Safetensors
Open Source License:Apache-2.0#Pathological image feature extraction#DINOv2 architecture optimization#Medical Vision Transformer
Downloads 9,710
Release Time : 8/7/2024

Model Overview

Hibou-L is a Vision Transformer model designed for digital pathology, based on the DINOv2 framework and pre-trained on a large-scale pathological image dataset, suitable for medical image feature extraction and analysis.

Model Features

Large-scale pathological image pre-training
Pre-trained on a private dataset of 1.2 billion pathological images, with strong pathological image feature extraction capabilities.
Optimized for digital pathology
The model architecture and training are specifically optimized for digital pathology tasks.
Register support
Custom implementation of the DINOv2 architecture in the transformers library to support register functionality.

Model Capabilities

Pathological image feature extraction
Medical image analysis
Digital pathology applications

Use Cases

Medical diagnosis
Pathological slide analysis
Used to analyze digital pathological slide images and extract key features
Medical research
Pathological image feature research
Used to study feature patterns in pathological images
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