---
library_name: pytorch
tags:
- medical-imaging
- pathology
- microscopy
- leukemia
- blast-cells
- deep-learning
- computer-vision
---

# 🧬 Blast Cell Detection

## 📌 Overview

This repository contains a PyTorch-trained model for **blast cell detection in microscopic blood smear images**.

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## 🧪 Dataset

The model was trained using the publicly available:

**ALL-IDB (Acute Lymphoblastic Leukemia Image Database)**  
🔗 https://scotti.di.unimi.it/all/

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## 📦 Model File

- `resnet_unet_attention.pth` → PyTorch model weights

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## 🚀 Usage

To use this model, you must define the same architecture used during training, then load the weights as follows:

```python
import torch

model = ...  # define your model architecture here
model.load_state_dict(torch.load("trained-model.pth", map_location="cpu"))
model.eval()
```




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license: cc-by-2.0
---