Artificial neural network for lung cancer detection using CT images

Lung Cancer is the second most serious disease in today’s world due to which mortality rate increasing every year. Accurate and early identification of cancer lung could help people live longer. Medical image processing has a significant impact on recognition tumors using Computer Tomography (CT) scan images. CT images provide complete imaging tumor development inside lungs are extensively used. A diagnosis usually done manually by skilled specialists, while these approaches particularly useful advanced stage detection, it also time-consuming operation that highly reliant person. This increases risk detecting inaccuracy human error procedures, necessitating use an automated system. As result, necessary identify approach decrease manual enhance accuracy convenience process. In this proposed method techniques artificial neural network (ANN) were employed create automatic for accurate detection. first step, noise reduction, histogram enhancement,