eng Oriental Scientific Publishing Company Biomedical and Pharmacology Journal 0974-6242 2022-12-20 15 4 1947 1956 10.13005/bpj/2533 46308 article Abeer Nawaf Albqoor 1 Mohammad Y. Alzaatreh 2 Mohammad K. I. Almatari 1 Department of Physics, Faculty of Science, Al-Balqa Applied University, Salt 19117, Jordan. Prince Al Hussein Bin Abdullah II Academy for Civil Protection, Department of applied medical sciences, Al-Balqa Applied University, Al-Salt, Amman, 41111, Jordan. Lung Cancer is the most common cancer diagnosed worldwide. It causes a higher amount of deaths.  For the survival of cancer patients, early detection and treatment are beneficial and effective. Computer-aided diagnosis (CAD) is one of the most effective techniques utilized for image processing for lung cancer detection. Also, it’s the best image-based method for locating tiny nodules which facilitate early diagnosis of lung cancer. In this paper, the authors implemented a proposed CAD model. The proposed model successfully detected a very small tumor sized between 500 -1000 sq mm and can detect a smaller lung tumor than 500 sq mm if present which will enable physicians to early detect and appropriately stage lung cancer. https://biomedpharmajournal.org/vol15no4/a-novel-method-of-segmentation-and-analysis-of-ct-chest-images-for-early-lung-cancer-detection/ Computed Tomography  CAD   Lung Cancer