Deep learning based blood abnormalities detection as a tool for VEXAS syndrome screening
Description
Annotated image dataset from the paper : De Almeida Braga, C., Bauvais, M., Sujobert, P., Heiblig, M., Jullien, M., Le Calvez, B., Richard, C., Le Roc'h, V., Rault, E., Hérault, O., Peterlin, P., Garnier, A., Chevallier, P., Bouzy, S., Le Bris, Y., Néel, A., Graveleau, J., Kosmider, O., Paul-Gilloteaux, P., Normand, N. and Eveillard, M. (2024), Deep Learning-Based Blood Abnormalities Detection as a Tool for VEXAS Syndrome Screening. Int J Lab Hematol. https://doi.org/10.1111/ijlh.14368 Please refer to the paper for additionnal information on collection methods and findings related to the data. Please cite the paper if you use this data. The project contains .csv annotation files and image folders structured as follows : train/ centre_ID/ patient_ID/ slide_ID/ 000000.jpg 000001.jpg ... test/ centre_ID/ patient_ID/ slide_ID/ ... train.csv test.csv
Files
Institutions
- Centre Hospitalier Universitaire de NantesPays de la Loire, Nantes
- Structure Federative de Recherche Francois BonamyPays de la Loire, Nantes
- Centre Hospitalier Departemental VendeePays de la Loire, La Roche-sur-Yon
- Hospices Civils de LyonAuvergne-Rhône-Alpes, Lyon
- Laboratoire des Sciences du Numerique de NantesPays de la Loire, Nantes
- Centre Hospitalier de Saint NazairePays de la Loire, Saint Nazaire
- Centre Hospitalier Regional Universitaire de ToursCentre, Tours
- Assistance Publique - Hopitaux de ParisÎle-de-France, Paris
- Polytech NantesPays de la Loire, Nantes