Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
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.
Medical Image processing and segmentation for the automatic detection and counting of blood platelets and WBCs.
Simulation-only Go1 quadruped MPC/WBC locomotion control prototype with MuJoCo, Pinocchio, OSQP and ROS2/C++.
Alternative WBC archive web interface
Structural analysis of how WBC 2026 pitch limits reshape pitching strategy. Model + observed data + confirmed facts. Built with Python, Streamlit, and Plotly.
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.
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