Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
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Updated
Dec 21, 2022 - Python
Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
clotFoam_sd provides a general framework for simulating shear-dependent platelet-mediated coagulation in OpenFOAM
Test to count the number of platelets, red blood cells (RBCs), and white blood cells (WBCs) in blood sample photos, using https://universe.roboflow.com/team-roboflow/blood-cell-detection-1ekwu/dataset/3 as the training and test dataset.
Analyze mobile network signals in real time with Cell-ID for detailed insight into signal strength, cell history, and network parameters across devices.
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