White blood cells segmentation and classification using a random forest and residual networks implementation
Marlon R. Rodrigues Garcia,
Erika Toneth Ponce Ayala,
Sebastião Pratavieira
et al.
Abstract:Artificial intelligence algorithms are interesting solutions to automate the tedious manual counting of white blood cells by a specialist. Although interesting machine learning algorithms have been proposed for this task, there is a lack in the literature for high-accuracy methods (more than 99%) tested on larger datasets (more than 10 thousand images). This paper presents a segmentation and classification methodology, based on Random Forest and ResNet50, along with a comparison between ResNet models with diff… Show more
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