A Novel Deep Learning Approach in Haematology for Classification of Leucocytes-Reference-Cited by-同舟云学术

A Novel Deep Learning Approach in Haematology for Classification of Leucocytes

Published:2018-08-18 Issue: Volume: Page:265-274
ISSN:2190-3018
Container-title:Quantifying and Processing Biomedical and Behavioral Signals
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Author:

Bevilacqua Vitoantonio,Brunetti Antonio,Trotta Gianpaolo Francesco,De Marco Domenico,Quercia Marco Giuseppe,Buongiorno Domenico,D’Introno Alessia,Girardi Francesco,Guarini Attilio

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-95095-2_25

Reference13 articles.

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3. Bevilacqua, V., Cariello, L., Columbo, D., Daleno, D., Fabiano, M.D., Giannini, M., Mastronardi, G., Castellano, M.: Retinal fundus biometric analysis for personal identifications. In: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008, Lecture Notes in Computer Science (LNCS), vol. 5227, pp. 1229–1237. Springer (2008)

4. Fakoor, R., Ladhak, F., Nazi, A., Huber, M.: Using deep learning to enhance cancer diagnosis and classification. In: Proceedings of the International Conference on Machine Learning, pp. 1310–1321. ACM (2015)

5. Bevilacqua, V., Dimauro, G., Marino, F., Brunetti, A., Cassano, F., Di Maio, A., Nasca, E., Trotta, G. F., Girardi, F., Ostuni, A., Guarini, A.: A novel approach to evaluate blood parameters using computer vision techniques. In: 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1–6. IEEE (2016)

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