Deep learning based blood abnormalities detection as a tool for VEXAS syndrome screening
View DatasetDescription
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.14368Please 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.csvtest.csv
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Publication Details
DOI
Publisher
Mendeley Data
Subfield
Molecular Biology
Field
Biochemistry, Genetics and Molecular Biology
Domain
Life Sciences
Confidence Score
36%
Source
Scholar Data Model