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Vit Small Patch14 224.dinobloom

Developed by 1aurent
DinoBloom is a small Vision Transformer-based feature extraction model specifically designed for cell embedding tasks in hematology.
Downloads 371
Release Time : 5/20/2024

Model Overview

This model is a small Vision Transformer for extracting general cell embedding features from hematology images, serving as a feature backbone for downstream tasks.

Model Features

Compact and Efficient
A small model with only 22 million parameters, suitable for deployment in resource-constrained environments
Hematology-Specific
Optimized specifically for hematology images and cell analysis tasks
Pre-trained Features
Provides high-quality pre-trained features for fine-tuning in downstream tasks

Model Capabilities

Image Feature Extraction
Cell Image Analysis
Medical Image Processing

Use Cases

Medical Imaging
Blood Cell Classification
Used for classifying and identifying different types of blood cells in blood samples
Pathology Detection
Assists in detecting abnormal cells or pathological features in blood samples
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