- Developed in Python with a GUI interface, supporting multiple denoising Smodels and visualizing denoising results.
- Based on deep learning methods, supporting both GPU and CPU environments.
An Automatic Diagnosis Application for COVID-19 Based on X-ray Scans
- Developed in Python with a user-friendly GUI, it provides high identification accuracy, rapid inference speed, and substantial clinical application value.
- It achieved a test accuracy of up to 96% on public datasets and includes real-time analytics capabilities.
Bone Age Measurement Based on YOLO
- Perform object detection and locate finger joints using YOLO.
- Extract finger joint images, classify and register these images to achieve bone age measurement.
Foreground Object Segmentation Algorithm for Non-Specific Categories
- Dual-layer Nested UNet Based on Attention Mechanism. Convolutional Block Attention Module (CBAM).
- Model Compression: Knowledge Distillation. Lightweight Deployment Based on Libtorch. (C++)
A Single-Camera Pedestrian Tracking System Based on PaddlePaddle
- Dual-layer Nested UNet Based on Attention Mechanism. Convolutional Block Attention Module (CBAM).
- Model Compression: Knowledge Distillation. Lightweight Deployment Based on Libtorch. (C++)
My CV
