Welcome to UNethology, a repository dedicated to showcasing the versatility of UNet, a powerful deep learning architecture for image segmentation and beyond. In this repository, I delve into my journey of utilizing UNet to tackle a variety of problems, demonstrating its adaptability and effectiveness in various domains.
Recent Updates: 🏆
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May 6, 2024: Added a new project demonstrating UNet for medical image segmentation on the SMU Dataset. Check out the notebook: SMU Dataset: UNet for Medical Image Segmentation. In this project, I use smp to construct ViT-based UNet to compare with ResUNet. Plus, a novel loss function is applied.
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April 15, 2024: Successfully employed UNet to tackle a regression prediction challenge on Kaggle, specifically predicting the age of abalones. See the Kaggle notebook: UNethology: Predict Age with UNet???.
Stay tuned for more UNet adventures! 🚀
As I continue my exploration of UNet's capabilities, I'll be adding more projects and insights to this repository. Feel free to follow along and join me on this exciting journey of UNet-powered problem-solving! 🤓
Projects:
- SMU Dataset: UNet for Medical Image Segmentation - Demonstrates UNet for segmenting medical images from the SMU Dataset, showcasing its potential in medical image analysis.
- UNethology: Predict Age with UNet??? - A Kaggle notebook demonstrating how UNet can be adapted for regression prediction tasks, specifically predicting the age of abalones.