The Detection of Lung Cancer in Computed Tomography (CT) Scans Using Image Analysis Techniques

Author(s)	Eesa Salaar Adnan
Country	Dubai, UAE
Abstract	This research paper aims to present and discuss the utilization of image analysis techniques for the detection of lung cancer through CT scans. To be specific, region growing, edge detection, and thresholding are explored and presented as image analysis techniques for the identification and determination of abnormal regions, which may indicate the presence of tumors. All image analysis techniques were implemented and tested using a dataset of lung images, and the overlapping regions are examined for increased accuracy in tumor identification. This research aims to prove that the utilization of multiple image processing techniques may increase the accuracy of tumor identification, providing a computational tool for radiologists for early tumor detection. Moreover, it aims to show that traditional image analysis techniques are effective and easily understandable for clinical decision support.
Keywords	Lung Cancer, CT Scan, Medical Imaging, Image Analysis, Region Growth, Edge Detection, Thresholding, Overlapping Regions (Intersection), Tumor Detection, Computer Algorithm
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-13

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International Journal For Multidisciplinary Research