Abdominal organ segmentation using texture transforms and a Hopfield neural network.

This study introduces a novel method using texture transforms and a Hopfield neural network (HNN) to cluster abdominal organ pixels in CT scans. The approach successfully segmented 79-100% of pixels for seven organs, paving the way for automated segmentation.