Development of computed tomography lung cancer analysis system

Karim, Nurlyana (2021) Development of computed tomography lung cancer analysis system. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Lung cancer is one of the most popular forms of cancer. Early diagnosis of lung cancer with proper care is important for the life of the individual. In this project, threshold methods for segmentation and extraction of lung lesions have been proposed in the Computed Tomography Lung Cancer Analysis System. This report provides a cancer detection method texture features derived from the DICOM Lung CT scan for the recognition of cancerous lesions. The pre-process images by thresholding collected after scanning Lung CT images. Next, focus on features of lesion in the lung image that have cancer in MATLAB Software and ALIZA Application. The purpose of the project is to present the state of comparison of seize and performance lesion using image lung cancer processing and evaluating the accuracy of segmentation by thresholding that is Otsu Thresholding and Fuzzy C Means. This system use visual conventions to represent the development of Computed Tomography lung cancer analysis system on Graphical User Interface. The original image and segment image from segmentation process are among the images in the GUI system. Patient number and size of lesion displayed also in GUI System. The image of the thresholding method became clear that the size and output should be approaching, comparing from the two methods, OTSU Thresholding and Fuzzy C Means. Finally, the performance had calculated from the lesion size measurements in MATLAB and compared to the size of lesion from ALIZA Application.

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