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