Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
