Deep Learning, Artificial Intelligence, Medical Imaging, Medical Image Analysis, Image Segmentation.
network was able to detect 47% and 72% of all tumors present in the MTRA and LiTS annotations, respectively. The dice/case and dice/correspondence was 0.53 and 0.72 for the MTRA reference and 0.51 and 0.65 for LiTS reference. The RF classifier allowed for a 85% reduction of false positives and had