Detection and Analysis of Lung Cancer Using Radiomic Approach

Lung cancer is the most prevailing form of cancer and claims more lives each year in comparison of colon, prostate, and breast cancers combined. The prominent types of lung cancers are explained here along with their database details. In this work, the radiomic approach is proposed for the process of detection and analysis of lung cancer due to its impressive prognostic power. This becomes possible with the advent of computer aided detection system that not only provides a cost effective technique but also provides a noninvasive provision. The main aspect of this approach relies on its ease of implementation over the different types of databases irrespective to the category of cancer. The precise detection and prediction is possible via radiomic approach, which becomes state-of-the-art technique for lung cancer analysis. In future, the radiomic approach would be employed along with the deep learning models in conjunction with the computer-aided detection system for better diagnosis purposes.