tailieunhanh - Brain tumor segmentation based on u-net with image driven level set loss

The proposed approach is applied to segment brain tumors from MRI images and compared with other works when applying to a database of approximately 4,000 image slices acquired from brain MRI scans. Experimental results show that the proposed approach achieves high performance in terms of Dice coefficient and Intersection over Union scores. |