Medical Image Analysis of Lung Cancer CT Scans Using Deep Learning with Swarm Optimization Techniques
Debnath Bhattacharyya, Eali Stephen Neal Joshua, N. Thirupathi Rao · 2023
Image processing is the process of extracting information from a photograph. It is required to make visual data more understandable by humans and machines. In image processing, you start with a CT scan, modify it, and create a new image or report. Processing digital images is becoming increasingly crucial in healthcare as more individuals utilize digital imaging for diagnosis. Medical image processing is vital because it can detect dangerous diseases and other healthcare issues. It spreads through the blood vessels and lymphatic system. This comprises the brain, bones, adrenal glands, and liver. Patients with lung cancer have a slim probability of survival, no matter what stage it is detected at. It is initially assumed to be a lung tumor, a non-normal lump of tissue that can be solid or fluid-filled. Benign tumors grow slowly and cause no complications. Malignant tumors are more harmful than benign tumors because they can spread to other regions of the body and become cancerous. As a result, finding and identifying the malignant tumor quickly is critical to predicting the patient's prognosis. Because tumors generally show no symptoms when first discovered, the odds of a cure are poor.