waseda university / Master
Spatial information using CRF for brain tumor segmentation
Proposed a method that combined the fuzzy spatial correlation of voxels in the MRI images obtained from a 3D network using CRF with the information captured by an ordinary 2D network to focus on the brain tumor segmentation task. Compared with the state-of-the-art and the baseline method with the average Dice less than 0.85, the proposed is time and memory saving with the average Dice nearly 0.88.