Leukemia Detection with Morphology Attributes

🤗 This is the demo of the Paper Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset.

🆒 Our goal is to detect infected cells with Morphology for the bettre diagnosis explainabilty.

⚡ For faster inference, you may duplicate the space and use the GPU setting.

🧪 Note : Image size: 640×640 pixels, captured using a 100x microscope lens..

Upload an image 📁

Contextual Task type

Detect

Detection output

Text output

Sample Images

🦁 Developed by

Intelligent Machines Lab, Information Technology University of Punjab
🔗 website

🧪 Demo Paper

Our demo paper is available at: Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset 📄 arXiv:2405.10803

🦁 Github Repository

We would be grateful if you consider starring our
⭐ Blood Cancer Dataset Repository

🦁 Contact

If you have any questions, please feel free to contact Abdul Rehman (phdcs23002@itu.edu.pk).

📝 Citation

@inproceedings{rehman2025leveraging,
  title={Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset},
  author={Rehman, Abdul and Meraj, Talha and Minhas, Aiman Mahmood and Imran, Ayisha and Ali, Mohsen and Sultani, Waqas and Shah, Mubarak},
  booktitle={},
  pages={},
  year={2025},
  organization={Springer}
}