Blood Cell Count
3 papers with code • 0 benchmarks • 1 datasets
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CBC
Most implemented papers
Machine learning approach of automatic identification and counting of blood cells
MahmudulAlam/Automatic-Identification-and-Counting-of-Blood-Cells
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A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition.
Machine learning approach of automatic identification and counting of blood cells
MahmudulAlam/Automatic-Identification-and-Counting-of-Blood-Cells
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Healthcare Technology Letters, IET 2019
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition.
AIDeveloper: deep learning image classification in life science and beyond
maikherbig/AIDeveloper
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bioRxiv 2020
The working principles of AID are first illustrated by training a convolutional neural net (CNN) on a large dataset consisting of images of different objects (CIFAR-10).
