System for the automated classification of white blood cells (leukocytes)
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Updated
Mar 26, 2019 - MATLAB
System for the automated classification of white blood cells (leukocytes)
Classifying White Blood Cells with CNNs
Medical Image processing and segmentation for the automatic detection and counting of blood platelets and WBCs.
mpc and wbc for mini cheetah in pybullet
Manual WBC Differential Counter-Program for manually counting blood cells with microscope with the keyboard
LEUKOCOUNT aids in automating the process of detection of blood-based diseases.
White blood cells binary classification using transfer learning technique on Deep Learning model
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.
Classification of WBC ( White Blood Cells ) with CNN . (Convolutional Neural Network)
Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
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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