Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy

Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy

White blood cell (WBC) classification plays a crucial role in hematopathology and clinical diagnostics. However, traditional methods are constrained by limited receptive fields and insufficient utilization of contextual information, which hinders classification performance. To address these limitati...

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Bibliographic Details
Main Authors: Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
white blood cell classification
Fourier ptychographic microscopy
YOLOv7
CARAFE upsampling
EMA mechanism
Soft-NMS
Online Access:https://www.mdpi.com/1424-8220/25/9/2699
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