Virtual Staining, Segmentation, and Classification of Blood Smears for Label-Free Hematology Analysis

Objective and Impact Statement. We present a fully automated hematological analysis framework based on single-channel (single-wavelength), label-free deep-ultraviolet (UV) microscopy that serves as a fast, cost-effective alternative to conventional hematology analyzers. Introduction. Hematological a...

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書目詳細資料
發表在:BME Frontiers
Main Authors: Nischita Kaza, Ashkan Ojaghi, Francisco E. Robles
格式: Article
語言:英语
出版: American Association for the Advancement of Science (AAAS) 2022-01-01
在線閱讀:http://dx.doi.org/10.34133/2022/9853606