Paper

White blood cells detection and classification based on regional convolutional neural networks.

Published Nov 4, 2019 ·

Medical hypotheses

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Abstract

Abstract hidden due to publisher request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

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Study Snapshot

The study developed a computer-aided automated system that accurately detects and classifies white blood cell types in blood images, with ResNet50 showing the best performance with transfer learning.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

White blood cells detection and classification based on regional convolutional neural networks.

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