Artificial Intelligence and Communication Technologies
A Study of Methods Researched for Lung Cancer Detection
Authors: Aishwarya Nalawade and Shrinivas A. Patil
Publishing Date: 08-10-2022
ISBN: 978-81-955020-5-9
Abstract
Advancement in medical science has sharply increased the overall average lifespan of humans since the last century. But this in turn has led to an increase in the incidence or rather possibility of cancer. It has been found that the risk of cancer steadily increases as age increases and more than 1,000 people out of 1,00,000 in the age group of 60 years and older suffer from some type of cancer. This, coupled with the mounting pollution and lifestyle changes has resulted in cancer becoming one of the top five non-communicable diseases together responsible for 70% of global deaths as per WHO data. Air pollution and global warming due to various causes have made lung cancer a major concern. It becomes essential to detect the presence of cancer as early as possible to minimize the risk of fatality and recurrence. The development of intelligent systems is a ray of hope for automation of the entire process of anomaly detection, identification of a disease, localization of the disease as well as analysis of the severity of the disease. Systems are being developed for the early detection of lung cancer through the results of various diagnostic systems. This paper studies the numerous preprocessing techniques implemented and different algorithms used for the detection of lung cancer through CT scans.
Keywords
Lung cancer, Classification, Biomedical, Image Processing, Tumor Detection, Artificial Intelligence
Cite as
Aishwarya Nalawade and Shrinivas A. Patil, "A Study of Methods Researched for Lung Cancer Detection", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2022, pp. 493-499. https://doi.org/10.52458/978-81-955020-5-9-47