VLSI Implementation of Constructive Neural Network for Skin Cancer Detection

摘要

A novel method for Constructive Neural Networks has been proposed to detect the skin cancer stages by using C-MANTEC algorithm. This algorithm produces compact architecture. To analyze the skin cancer at the early stage adaptive region growing is proposed. For the execution of skin malignancy identification there are four phases included. First stage is pre-processing by anisotropic diffusion filter, second stage is segmentation, and third stage is GLCM feature extraction by using MATLAB. Utilizing constructive neural network algorithm in fourth stage is used to detect various stages of the cancer which is further implemented using Xilinx.