The need for CT scan analysis is growing for pre-diagnosis and therapy of abdominal
organs. Automatic organ segmentation of abdominal CT scan can help radiologists analyze
the scans faster and segment organ images with fewer errors. However, existing methods
are not efficient enough to perform the segmentation process for victims of accidents and
emergencies situations. In this paper we propose an efficient liver segmentation with our 3D
to 2D fully connected network (3D-2D-FCN). The segmented mask is enhanced by means of …

The need for CT scan analysis is growing for diagnosis and therapy of abdominal organs.
Automatic organ segmentation of abdominal CT scan can help radiologists analyze the
scans faster, and diagnose disease and injury more accurately. However, existing methods
are not efficient enough to perform the segmentation process for victims of accidents and
emergency situations. In this paper, we propose an efficient liver segmentation with our 3D
to 2D fully convolution network (3D-2D-FCN). The segmented mask is enhanced using the …