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Deep learning approach to peripheral leukocyte recognition
2019
PLoS ONE
Microscopic examination of peripheral blood plays an important role in the field of diagnosis and control of major diseases. Peripheral leukocyte recognition by manual requires medical technicians to observe blood smears through light microscopy, using their experience and expertise to discriminate and analyze different cells, which is time-consuming, labor-intensive and subjective. The traditional systems based on feature engineering often need to ensure successful segmentation and then
doi:10.1371/journal.pone.0218808
pmid:31237896
pmcid:PMC6592546
fatcat:xpoujhgmevc4rphrsa7stgmc6y