A Neural Based Classification Approach for Lung Tumor Detection

Neural is one the most efficient soft computing technique, used by many of the computer science applications to optimize the throughput. Neural have great importance in almost every field of computer science. Here we are presenting a comparative analysis of different crossover operations with Neural. In this work we are implementing the Neural Algorithm to detect the tumor in lung images. The approach will be implemented on innermost area and because of this it will gives more efficient and accurate results. The system will be implemented on DICOM images and it will detect the tumor in case of lung images. The system will use the Feature analysis along with genetic algorithm to detect the lung tumor