theodpzz/ps3c

An Ensemble-based Two-step Framework for Classification of Pap Smear Cell Images

Code repository

The project source code: GitHub Repository.

Available resources

Train weights for Step 1 and Step 2, as well as the per-class final predicted probabilities, are provided in this repository.

PS3C

This project was developed as part of the PS3C Challenge at ISBI 2025.

Kaggle Challenge: Kaggle Link.

APACC Dataset original paper: Paper access.

Citation

If you use this model or related resources, we would appreciate the following citation:

@inproceedings{dipiazza2025ps3c,
  author    = {Di Piazza Theo and Loic Boussel},
  title     = {An Ensemble-based Two-step Framework for Classification of Pap Smear Cell Images},
  booktitle = {Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI)},
  year      = {2025},
  organization = {IEEE},
}