A Multi-Strategy Active Learning Framework for Enhanced Peripheral Blood Cell Image Detection

A Multi-Strategy Active Learning Framework for Enhanced Peripheral Blood Cell Image Detection

Peripheral blood cell detection is essential for diagnosing and monitoring hematologic disorders. However, existing methods typically focus on a limited number of cell types (usually 3 to 10), restricting their ability to detect a broader range of cells. These methods also struggle with class imbala...

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Bibliographic Details
Main Authors: Yuheng Feng, Jiangtao He, Linjin Wang, Wuchen Yang, Sihan Deng, Lanlin Li, Xinwei Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Peripheral blood cells
active learning
object detection
diversity query
Online Access:https://ieeexplore.ieee.org/document/11036778/
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