Two-layer competitive based Hopfield neural network for medical image edge detection

摘要

In medical applications, the detection and outlining of bound- aries of organs and tumors in computed tomography (CT) and magnetic resonance imaging (MRI) images are prerequisite. A two-layer Hopfield neural network called the competitive Hopfield edge-finding neural net- work (CHEFNN) is presented for finding the edges of CT and MRI im- ages. Different from conventional 2-D Hopfield neural networks, the CHEFNN extends the one-layer 2-D Hopfield network at the original im- Age plane a two-layer 3-D Hopfield network with edge detection to be Implemented on its third dimension.