Vit Small Patch14 224.dinobloom
DinoBloom is a small Vision Transformer-based feature extraction model specifically designed for cell embedding tasks in hematology.
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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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