Webber
MPhil candidate at UNSW CSE, focusing on Semi-supervised Learning, Image Segmentation, and Medical Image Processing.
Achievements
A quick overview of milestones
Research Highlights
Latest research achievements and technical breakthroughs
Medical Image Segmentation
Proposed a confidence-based adaptive displacement mechanism for semi-supervised medical image segmentation. Achieved state-of-the-art performance of 90.38 DSC using only 20% labeled data on ACDC dataset.
Deep Learning Measurement
Utilized CNN and Transformer to fuse 3D and 2D features for accurate poultry weight and dimension prediction. Achieved MSE of 0.003 in test set, which is SOTA in this field.
Tech Stack
Core technologies and development tools I work with
AI/ML
Backend
Frontend
KitStack
Professional Free Online Tools ยท Privacy-First ยท Browser-Based ยท Unlimited Access
Image Optimizer
Compress images, keep quality
QR Code Tool
Generate & decode QR codes
Encoder/Decoder
Base64, URL encode & more
Markdown Converter
To PDF & Word docs
IP Intelligence
IP address lookup & analysis
PDF to Word
PDF document conversion
โจ Completely Free ยท No Sign-up ยท Privacy Protected
Let's Build the Future Together
Interested in AI research, full-stack development, or tech collaboration? Feel free to reach out!