Segmentation of Liver in CT images using 3D-Res-UNet

Automated algorithm for medical data structuring, and segmentation using artificial intelligence within secured environment for dataset creation

“…We have used 95 CT image volumes with separate label volumes of liver parenchyma, and liver vein (portal and hepatic vein together). The dataset is divided into 75:20 image volumes with the corresponding segmentations for the training and validation of a 3D Residual UNet deep learning network [48] , [49] .…”