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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.
mpc and wbc for mini cheetah in pybullet
Classification of WBC ( White Blood Cells ) with CNN . (Convolutional Neural Network)
System for the automated classification of white blood cells (leukocytes)
LEUKOCOUNT aids in automating the process of detection of blood-based diseases.
Medical Image processing and segmentation for the automatic detection and counting of blood platelets and WBCs.
Classifying White Blood Cells with CNNs
White blood cells binary classification using transfer learning technique on Deep Learning model
Manual WBC Differential Counter-Program for manually counting blood cells with microscope with the keyboard
Alternative WBC archive web interface