TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data

Author:

Chen Hua,Liu Juan,Hua Chunbing,Zuo Zhiqun,Feng Jing,Pang Baochuan,Xiao Di

Funder

Zhongnan Hospital of Wuhan University

Publisher

IEEE

Reference25 articles.

1. Classifying white blood cells in blood smear images using a convolutional neural network;sharma;International Journal of Innovative Technology and Exploring Engineering,2019

2. Classification of white blood cells using capsule networks

3. Automatic recognition of five types of white blood cells in peripheral blood

4. Classification of white blood cells using deep features obtained from convolutional neural network models based on the combination of feature selection methods;to?açar;Applied Soft Computing Journal,2020

5. Classification of lymphocytes, monocytes, eosinophils, and neutrophils on white blood cells using hybrid alexnet-googlenet-SVM;ç?nar;SN Applied Sciences,2021

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3. Improved Generalization of White Blood Cell Classification by Learnable Illumination Intensity Invariant Layer;IEEE Signal Processing Letters;2024

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