Using Artificial Intelligence to Interpret Clinical Flow Cytometry Datasets for Automated Disease Diagnosis and/or Monitoring
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Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-3738-8_16
Reference23 articles.
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3. Heuser M et al (2021) Update on MRD in acute myeloid leukemia: a consensus document from the European LeukemiaNet MRD Working Party. Blood 138(26):2753–2767
4. DiGiuseppe JA, Wood BL (2019) Applications of flow cytometric immunophenotyping in the diagnosis and posttreatment monitoring of B and T lymphoblastic leukemia/lymphoma. Cytometry B Clin Cytom 96(4):256–265
5. Ouyang G et al (2019) Clinically useful flow cytometry approach to identify immunophenotype in acute leukemia. J Int Med Res 47(4):1483–1492
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