Red blood cell segmentation in microscopic images of blood slides.

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.

MP-IDB is the public image dataset described in the following article: https://link.springer.com/chapter/10.1007/978-3-030-13835-6_7

Dataset for Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

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