Abstract
In this century, lung cancer is undoubtedly one of the major serious health problems, and one of the leading causes of death for women and men worldwide. Despite advances in treating lung cancer with unprecedented products of pharmaceutical and technological advances, mortality and morbidity rates remain a major challenge for oncologists and cancer biologists. Thus, there is an urgent need to provide early, accurate, and effective diagnostic techniques to improve the survival rate and reduce morbidity and mortality related to lung cancer patients. Therefore, in this paper, an effective lung cancer screening technique is proposed for the early detection of risk factors for lung cancer. In this proposed technique, the powerful acceleration feature Speeded up robust feature (SURF) was used to extract the features. One of the machine learning methods was used to detect cancer by relying on the k nearest neighbor (KNN ) method, where the experimental results show an effective way to discover SURF features and tumor detection by relying on neighborhoods and calculating the distance using KNN. As a result, a high system sensitivity performance success rate of 96% and a system accuracy of 99% has been achieved.
Highlights
The World Health Organization considers cancer to be one of the deadliest diseases
The Speeded up robust feature (SURF) algorithm is applied to extract the powerful feature from the image, and the goal of this algorithm is similar to the SIFT algorithm, to reduce the processing time, which helps in improving detection and matching speed
The results acquired throughout the process of detecting lung cancer are described
Summary
The World Health Organization considers cancer to be one of the deadliest diseases. There has been an increase in recent trends of rates of malignancies, which can be attributed to the increase in population. The high rates of cancer worldwide are attributed to several reasons, the most important of which are the increased exposure of the lung to hazardous substances and the increase in the number of elderly people. Symptoms of such diseases are usually undetectable until they have spread to other organs of the body, making treatment difficult Koo et al (2020).
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