An evaluation of U-Net in Renal Structure Segmentation

09/06/2022
∙
by   Haoyu Wang, et al.
∙
0
∙

Renal structure segmentation from computed tomography angiography (CTA) is essential for many computer-assisted renal cancer treatment applications. Kidney PArsing (KiPA 2022) Challenge aims to build a fine-grained multi-structure dataset and improve the segmentation of multiple renal structures. Recently, U-Net has dominated the medical image segmentation. In the KiPA challenge, we evaluated several U-Net variants and selected the best models for the final submission.

READ FULL TEXT

Please sign up or login with your details

Continue with:
Or login with email
Enter Password
Re-enter Password

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×
Pro

Consider DeepAI Pro