Hybrid Approach for Feature Extraction of Lung Cancer Detection

摘要

Recently, image processing techniques are widely used in several medical areas for image improvement in earlier detection and treatment stages, where time factor is very significant to discover the abnormality issues in target images, mainly in various cancer such as lung cancer, breast cancer etc. The core factors of this research are image quality and accuracy. The local energy-based shape histogram (LESH) feature extraction technique was recently intended for lung cancer diagnosis. We extend our work to apply LESH and sensitivity analysis (SA) to detect lung cancer. The JSRT & clinical dataset is selected for research experiments. This process will lead to a more generalized process for all kind of dataset and this approach can give better results than the earlier one.