Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism

Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism

Abstract Background Via counting the different kinds of white blood cells (WBCs), a good quantitative description of a person’s health status is obtained, thus forming the critical aspects for the early treatment of several diseases. Thereby, correct classification of WBCs is crucial. Unfortunately,...

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Bibliographic Details
Main Authors: Hua Chen, Juan Liu, Chunbing Hua, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Bioinformatics
Subjects:
Deep learning
Spatial and channel attention
Transfer learning
Mixup
White blood cells classification
Online Access:https://doi.org/10.1186/s12859-022-04824-6

Internet

https://doi.org/10.1186/s12859-022-04824-6

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