A Fuzzy Rank-based Deep Ensemble Methodology for Multi-Class Skin Cancer Classification

Arindam Halder, Anogh Dalal, Sanghita Gharami, Marcin Wozniak*^{[0000-0002-9073-5347]}, Muhammad Fazal Ijaz*^{[0000-0001-5206-272X]}, Pawan Kumar Singh^{[0000-0002-9598-7981]}

(* Corresponding Authors)

This is the official implementation of the paper, "A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification" published in "Scientific Reports (Nature)"

Directory Structure

+-- assets/
+-- DermaMNIST_FuzzyEnsemble.ipynb
+-- GradCAM_DermaMNIST.ipynb
+-- Ham10000_FuzzyEnsemble_GradCAM.ipynb

Running Codes

Clone the project repository:

git clone https://github.com/arindam369/FuzzyEnsemble-SkinCancer.git   cd FuzzyEnsemble-SkinCancer

• Run Ham10000_FuzzyEnsemble_GradCAM.ipynb file to view the result of our fuzzy ensemble model on Ham10000 dataset.
• Run DermaMNIST_FuzzyEnsemble.ipynb file to view the result of our fuzzy ensemble model on DermaMNIST dataset.
• To visualise GradCAM analysis on DermaMNIST dataset, run the GradCAM_DermaMNIST.ipynb file.
  

assets directory contains all the images of our study including results, architectures etc.

Datasets

Two datasets are utilized in this study -

• DermaMNIST can be found at: albertvillanova/medmnist-v2 | MedMNIST
• Ham10000 can be found at: Kaggle Datasets | ISIC 2018 Challenge | Harvard Dataverse

Citation

If you find this work helpful, consider citing our study:

@article{Halder2025,
   title={A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification},
   author={Halder, Arindam and Dalal, Anogh and Gharami, Sanghita and Wozniak, Marcin and Ijaz, Muhammad Fazal and Singh, Pawan Kumar},
   journal={Scientific Reports},
   volume={15},
   number={1},
   pages={6268},
   year={2025},
   month={feb},
   day={20},
   issn={2045-2322},
   doi={10.1038/s41598-025-90423-3},
   url={https://doi.org/10.1038/s41598-025-90423-3}
}