S-38

• Brain Tumor Segmentation:Label each voxel in MR image as { tumor, non-tumor }– Use only individual voxels

• Discriminative classifier (Logistic Regression; SVMs)– Also use spatial correlations of labels among neighboring voxels

• Random Fields: potential for voxel + potential for neighboring voxels– Extension: Pseudo-Conditional Random Fields

1. Learn• Learn discriminative iid classifier for each voxel• Hand-tune potential for neighbors

2. Inference• Uses both potentials• Incorporates label correlations in 2-D MR image

• Contributions• Learning is significantly faster than typical CRFs• Quality of resulting segmentation typical CRFs

Brain Tumor Analysis Project http://www.cs.ualberta.ca/~btap

Segmenting Brain Tumors using Pseudo–Conditional Random Fields

Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matthew Brown, and Russell Greiner