Pinned Repositories
ANFC-Automated-Nailfold-Capillary
Automated Nailfold Capillary Analysis： A dataset And a pipeline
capillarydetection
HDMIA: An Architect for High Demand Medical Image Analysis using Deep Learning
deep_radiomics_osteoporosis
Deep radiomics-based approach for the diagnosis of osteoporosis using hip radiographs
ElectronBot
gpt-ai-assistant
OpenAI + LINE + Vercel = GPT AI Assistant
hexapod-v2-7697
Hexapod v2 using Linkit 7697
kaggle_rsna_breast_cancer
1st place of Kaggle's RSNA Screening Mammography Breast Cancer Detection competition
nailfold
Predicting diabetes and complications from nailfold capillary images using deep learning
Nailfold-Capillary-Detection
Traditional Image Processing Techniques for Nailfold Capillary Detection: A project showcasing a non-ML/DL approach to detect and count nailfold capillaries, emphasizing the application of fundamental image analysis methods in medical diagnostics.
Kai-Cheng-Hu's Repositories
Kai-Cheng-Hu/hexapod-v2-7697
Hexapod v2 using Linkit 7697
Kai-Cheng-Hu/ANFC-Automated-Nailfold-Capillary
Automated Nailfold Capillary Analysis： A dataset And a pipeline
Kai-Cheng-Hu/capillarydetection
HDMIA: An Architect for High Demand Medical Image Analysis using Deep Learning
Kai-Cheng-Hu/deep_radiomics_osteoporosis
Deep radiomics-based approach for the diagnosis of osteoporosis using hip radiographs
Kai-Cheng-Hu/ElectronBot
Kai-Cheng-Hu/gpt-ai-assistant
OpenAI + LINE + Vercel = GPT AI Assistant
Kai-Cheng-Hu/kaggle_rsna_breast_cancer
1st place of Kaggle's RSNA Screening Mammography Breast Cancer Detection competition
Kai-Cheng-Hu/nailfold
Predicting diabetes and complications from nailfold capillary images using deep learning
Kai-Cheng-Hu/Nailfold-Capillary-Detection
Traditional Image Processing Techniques for Nailfold Capillary Detection: A project showcasing a non-ML/DL approach to detect and count nailfold capillaries, emphasizing the application of fundamental image analysis methods in medical diagnostics.
Kai-Cheng-Hu/Vehicle-CV-ADAS
The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2 .
Kai-Cheng-Hu/neko
Neko is a cross-platform cursor-chasing cat. This is the reimplementation write in Go.
Kai-Cheng-Hu/style-transfer-video-processor
This code extends the neural style transfer image processing technique to video by generating smooth transitions between several reference style images