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
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Funding
Agence Nationale de la Recherche
ANR-20-THIA-0011