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.
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)
Simulation-only Go1 quadruped MPC/WBC locomotion control prototype with MuJoCo, Pinocchio, OSQP and ROS2/C++.
Medical Image processing and segmentation for the automatic detection and counting of blood platelets and WBCs.
LEUKOCOUNT aids in automating the process of detection of blood-based diseases.
Linux-first embedded runtime for humanoid whole-body-control (WBC) policy inference. One contract, multiple backends — Python SDK with a Rust core, ONNX and PyO3.
RazviOverflow's Ph.D. Dissertation and Slides
White blood cells binary classification using transfer learning technique on Deep Learning model
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.
Course-project extension of OpenLoong-Dyn-Control with MPC-WBC humanoid locomotion, MuJoCo virtual LiDAR, automatic obstacle avoidance, step-over/bypass planning, enhanced scenes, and manual control demos.基于 OpenLoong-Dyn-Control 的课程项目扩展:包含 MPC-WBC 人形机器人行走、MuJoCo 虚拟 LiDAR、自动避障、低障碍跨越、高障碍绕行、增强场景与手动控制演示。
Classifying White Blood Cells with CNNs
Implementation of a Whole-Body Controller (WBC) based on Quadratic Programming (QP) for the Unitree G1 humanoid robot. The framework utilizes MuJoCo for simulating physics and kinematics, focusing on fundamental humanoid tasks: balancing under gravity and transitioning from a seated position to standing.
Structural analysis of how WBC 2026 pitch limits reshape pitching strategy. Model + observed data + confirmed facts. Built with Python, Streamlit, and Plotly.
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