Analysis and Edge Detection of Lung Cancer – Survey

Abstract

Treating cancer in the early stages can provide more treatment options, less invasive surgery, and increases the survival rate. This paper deals with the detection of cancerous cells from Lungs CT scan images. To analyze the cancerous cells, physicians tackle many challenging tasks. Locating lung cancer at an early stage is a challenging task since there are few or no symptoms in this stage of the disease and majority of the cases are diagnosed in the later stages of the disease. The majority of lung cancers originate as a small growth or nodule in the lung. Screening CT scans are extremely sensitive in detecting nodules as small as 2 or 3mm within the lungs. CT screening is efficient in locating majority of lung cancers. Lung CT Scan helps in detecting lung cancers at an early stage when compared with other scans like MRI, X-Ray, etc. This present work proposes a method to detect the cancerous cells effectively from the CT scan images by reducing the detection error made by the physicians’ naked eye for medical study based on canny edge detection.