4.7 Article

A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm

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Summary: This article introduces a new method for classifying white blood cells using image processing and machine learning, involving nucleus and cytoplasm detection, feature extraction, and classification. The proposed method performs well on multiple datasets and demonstrates better generalization ability compared to traditional models.

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