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)

Using an open-source humanoid robot project for secondary development, we will conduct a series of operations such as embodied intelligence training.

System for the automated classification of white blood cells (leukocytes)

Medical Image processing and segmentation for the automatic detection and counting of blood platelets and WBCs.

🔒 Whitebox Cryptographic Code Example

LEUKOCOUNT aids in automating the process of detection of blood-based diseases.

Classifying White Blood Cells with CNNs

White blood cells binary classification using transfer learning technique on Deep Learning model

Publications from Wielkopolska Biblioteka Cyfrowa converted from DJVU to text format

O Leucograma é um aplicativo inovador que transforma a maneira como profissionais e estudantes de saúde realizam a contagem e análise de glóbulos brancos e vermelhos. Utilizando tecnologia de ponta, esta ferramenta simplifica o processo de análise do leucograma, tornando-o rápido, eficiente e facilmente acessível.

Alternative WBC archive web interface

Manual WBC Differential Counter-Program for manually counting blood cells with microscope with the keyboard