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- W2907188400 abstract "The characterization and classification of white blood cells (WBC) is critical for the diagnosis of anemia, leukemia and many other hematologic diseases. We developed WBC-Profiler, an unsupervised feature learning system for quantitative analysis of leukocytes. We demonstrate that WBC-Profiler enables automatic extraction of complex signatures from microscopic images without human-intervention and thereafter effective construction of leukocytes profiles, which decouples large scale complex leukocytes characterization from limitations in both human-based feature engineering/optimization and the end-to-end solutions provided by modern deep neural networks, and therefore has the potential to provide new opportunities towards meaningful studies/applications with scientific and/or clinical impact" @default.
- W2907188400 created "2019-01-11" @default.
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- W2907188400 date "2018-12-31" @default.
- W2907188400 modified "2023-09-23" @default.
- W2907188400 title "WBC-Profiler: an Unsupervised Feature Learning System for Leukocytes Characterization and Classification" @default.
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- W2907188400 doi "https://doi.org/10.1101/508564" @default.
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