IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology

---

The source code for this paper will be available soon. If you have any questions, feel free to ask.

---

Dataset

This project utilizes the Camelyon16 dataset, which is widely used in the field of computational pathology for the detection of metastases in lymph node tissue images.

---

📄 Citation

If you find our work helpful for your research, please consider citing the following BibTeX entry:

@misc{afshar2024iboinpaintingbasedocclusionenhance,
      title={IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology}, 
      author={Pardis Afshar and Sajjad Hashembeiki and Pouya Khani and Emad Fatemizadeh and Mohammad Hossein Rohban},
      year={2024},
      eprint={2408.16395},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2408.16395}, 
}