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.
The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), and Platelets with annotations.
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System for the automated classification of white blood cells (leukocytes)
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LEUKOCOUNT aids in automating the process of detection of blood-based diseases.
Using an open-source humanoid robot project for secondary development, we will conduct a series of operations such as embodied intelligence training.
Alternative WBC archive web interface
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Manual WBC Differential Counter-Program for manually counting blood cells with microscope with the keyboard
Medical Image processing and segmentation for the automatic detection and counting of blood platelets and WBCs.
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