Can I read Deep Learning for 2D/3D Lung Registration on EtoBox?

Deep Learning for 2D/3D Lung Registration by apoorvayr is a document available to read on EtoBox.

What is Deep Learning for 2D/3D Lung Registration about?

The document discusses a deep learning-based framework for non-rigid 2D/3D image registration using only two orthogonal X-ray images, addressing challenges in clinical applications like lung tumor tracking. The proposed method converts the registration task into a 3D/3D problem, significantly improving accuracy while reducing radiation exposure and computation time. Experimental results demonstrate high registration accuracy and tumor tracking performance, making it suitable for real-time clinical use.

Author

apoorvayr

Language

EN