Lung Cancer Analysis using Image Processing Techniques

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  • Create Date 29 July, 2025
  • Last Updated 30 July, 2025

Authors : PRITEE M TIMANDE,SARVESH ROTHE

Abstract As per the latest technical trends and related evolution in the field of medical imaging taken into consideration and effectively done Analysis and Computation of Lungs Cancer Detection Matlab. The vision behind the selection of this project that the cancer get easily get detected in pre treatment so that the diagnosis can be possible up to complete removal of the disease. Recently, image processing techniques are widely used in several medical areas for image improvement in earlier detection and treatment stages, where the time factor is very important to discover the abnormality issues in target images, especially in various cancer tumors such as lung cancer, breast cancer, etc. Image quality and accuracy is the core factors of this research, image quality assessment as well as improvement are depending on the enhancement stage where low pre-processing techniques is used based on Gabor filter within Gaussian rules. Following the segmentation principles, an enhanced region of the object of interest that is used as a basic foundation of feature extraction is obtained. Relying on general features, a normality comparison is made. In this research, the main detected features for accurate images comparison are pixels percentage and mask- labeling