serag-ai/BlastDetect

🧬 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:

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