CT Scan Liver Segmentation with Swin Transformer & UNet++
Budget: $30 – $250 USD
I'm looking for a freelancer with extensive experience in medical image segmentation to assist with a research project. The task involves implementing segmentation techniques on CT scans of the liver using Swin Transformer and UNet++.
Ideal Skills:
- Proficiency in Python and deep learning libraries such as TensorFlow or PyTorch.
- Prior experience with medical image processing and segmentation.
- Familiarity with Swin Transformer and UNet++.
This project involves:
- Segmenting liver images from CT scans.
- Utilizing advanced deep learning models (Swin Transformer and UNet++) for the task.
- Helping to advance research through effective image segmentation.
Please only apply if you have the relevant experience and can deliver high-quality results.
Ideal Skills:
- Proficiency in Python and deep learning libraries such as TensorFlow or PyTorch.
- Prior experience with medical image processing and segmentation.
- Familiarity with Swin Transformer and UNet++.
This project involves:
- Segmenting liver images from CT scans.
- Utilizing advanced deep learning models (Swin Transformer and UNet++) for the task.
- Helping to advance research through effective image segmentation.
Please only apply if you have the relevant experience and can deliver high-quality results.