AntiNuclear Antibody Pattern Classification Using CNN with Small Dataset
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48876-4_19
Reference19 articles.
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3. Cascio, D., Taormina, V., Raso, G.: Deep convolutional neural network for HEp-2 fluorescence intensity classification. Appl. Sci. 9(3), 408 (2019). https://doi.org/10.3390/app9030408
4. Chan, E., et al.: Report of the first international consensus on standardized nomenclature of antinuclear antibody HEp-2 cell patterns 2014–2015. Front. Immunol. 6, 412 (2015). https://doi.org/10.3389/fimmu.2015.00412
5. Damoiseaux, J., Andrade, L., Carballo, O., Conrad, K., Francescantonio, P., Fritzler, M., et al.: Clinical relevance of HEp-2 indirect immunofluorescent patterns. The international consensus on ANA patterns (ICAP) perspective. Ann. Rheum. Dis. 78(7), 879–889 (2019). https://doi.org/10.1136/annrheumdis-2018-214436
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