Datasets for "Towards Trustworthy AI in Haematology: A Conceptual Framework for Cross-Site Robustness and Human Review"

Overview This repository provides supplementary documentation for the paper "Towards Trustworthy AI in Haematology: A Conceptual Framework for Cross-Site Robustness and Human Review". It contains the complete list of five open-source datasets used in the evaluation plan, including full citations and access information. References Matek, C., Krappe, S., Münzenmayer, C., Haferlach, T., & Marr, C. (2021). An Expert-Annotated Dataset of Bone Marrow Cytology in Hematologic Malignancies [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.AXH3-T579 Matek, C., Schwarz, S., Marr, C., & Spiekermann, K. (2019). A Single-cell Morphological Dataset of Leukocytes from AML Patients and Non-malignant Controls [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/tcia.2019.36f5o9ld Acevedo, Andrea; Merino, Anna; Alférez, Santiago; Molina, Ángel; Boldú, Laura; Rodellar, José (2020), “A dataset for microscopic peripheral blood cell images for development of automatic recognition systems”, Mendeley Data, V1, doi: 10.17632/snkd93bnjr.1 CytologIA Dataset. (2025). CytologIA Dataset [Data set]. data.gouv.fr. https://doi.org/10.60597/9st8-xe88 Höfener, H., Kock, F., Pontones, M. A., Ghete, T., Pfrang, D., Dickel, N., Kunz, M., Schacherer, D., Clunie, D. A., Fedorov, A., Westphal, M., & Metzler, M. (2026). BoneMarrowWSI-PediatricLeukemia: A Comprehensive Dataset of Bone Marrow Aspirate Smear Whole Slide Images with Expert Annotations and Clinical Data in Pediatric Leukemia [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18499180