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README.md

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+---
+library_name: pytorch
+tags:
+- medical-imaging
+- pathology
+- microscopy
+- leukemia
+- blast-cells
+- deep-learning
+- computer-vision
+---
+
+# 🧬 Blast Cell Detection and Counting Model
+
+## 📌 Overview
+
+This repository contains a PyTorch-trained model for **blast cell detection and counting in microscopic blood smear images**.
+
+---
+
+## 🧪 Dataset
+
+The model was trained using the publicly available:
+
+**ALL-IDB (Acute Lymphoblastic Leukemia Image Database)**  
+🔗 https://scotti.di.unimi.it/all/
+
+---
+
+## 📦 Model File
+
+- `resnet_unet_attention.pth` → PyTorch model weights
+
+---
+
+## 🚀 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()
+
+
+
+
+
 ---
 license: cc-by-2.0
 ---