Artificial Intelligence Technologies in the Diagnosis of Acute Lymphoblastic Leukemia and Minimal Residual Disease-Reference-Cited by-同舟云学术

Artificial Intelligence Technologies in the Diagnosis of Acute Lymphoblastic Leukemia and Minimal Residual Disease

Published:2021-01 Issue:5 Volume:54 Page:354-356
ISSN:0006-3398
Container-title:Biomedical Engineering
language:en
Short-container-title:Biomed Eng

Author:

Nikitaev V. G.,Tupitsyn N. N.,Pronichev A. N.,Polyakov E. V.,Dmitrieva V. V.,Chernysheva O. A.,Serebryakova I. N.,Palladina A. D.

Publisher

Springer Science and Business Media LLC

Subject

Medical Laboratory Technology,Biomedical Engineering,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10527-021-10038-6.pdf

Reference12 articles.

1. Volkova, M. A. (ed.), Clinical Hematology-Oncology [in Russian], Meditsina, Moscow (2007).

2. Rumyantsev, A. G., Maschan, A. A., Rumyantseva, Yu. V., and Karachunsky, A. I., Federal Clinical Guidelines for the Diagnosis and Treatment of Acute Lymphoblastic Leukemia in Children and Adolescents, NODGO, Moscow (2015).

3. Rumyantsev, A. G. and Maschan, A. A., Federal Clinical Guidelines for the Diagnosis and Treatment of Acute Myeloid Leukosis in Children, NODGO, Moscow (2015).

4. Beznos, O. A., Diagnosis of Minimal Residual Disease in Children with Acute Lymphoblastic Leukemia: Candidate’s Dissertation [in Russian], Moscow (2018).

5. Lewis, S. M., Bain, B. J., Bates, I., and Dacie, J. V., Dacie and Lewis Practical Haematology, Elsevier Health Sciences (2012).

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