HIGHLIGHTS
- who: Brian M. Anderson from the Stanford University, United States have published the research work: Automated segmentation of colorectal liver metastasis and liver ablation on contrast-enhanced CT images, in the Journal: (JOURNAL)
- what: Ground-truth segmentations of the liver and disease were provided in the data; the goal of the model is to similarly segment the disease. The sensitivity of the model was evaluated on a site-by-site basis, where disease was considered identified if at least 45% of the ground truth overlapped with prediction. The authors proposed a Hybrid-WNet model architecture . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.