Automatic recognition of white blood cell images with memory efficient superpixel metric GNN: SMGNN

Automatic recognition of white blood cell images with memory efficient superpixel metric GNN: SMGNN

An automatic recognizing system of white blood cells can assist hematologists in the diagnosis of many diseases, where accuracy and efficiency are paramount for computer-based systems. In this paper, we presented a new image processing system to recognize the five types of white blood cells in perip...

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Bibliographic Details
Main Authors: Yuanhong Jiang, Yiqing Shen, Yuguang Wang, Qiaoqiao Ding
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
gnn
superpixel metric learning
memory efficient model
white blood cell segmentation
cell type classification
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024095?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024095?viewType=HTML

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