Development of computed tomography lung cancer analysis using image processing

Aizahar, Muhammad Azri Naim (2021) Development of computed tomography lung cancer analysis using image processing. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Image processing as it is known is a very sophisticated and widespread as well as rapidly used technology that been used nowadays, which can be used in various fields. It is also widely used especially in medical fields because it is extremely useful and very important in identifying various type of diseases that are difficult to see in the human body especially cancer which is a type of node growth in the body and was a dangerous disease that needs to be identified at an early stage so that it can be detected and get an early treatment which indirectly minimized the cases of death due to cancer. So by using an image processing technique, it can indirectly detect whether the tumor is present or not in the body and also to show that, at what stage the growth of the cancer nodes is in the lungs. Mostly this method is call as a Computed tomography or in short CT–scan. Therefore, in this paper, it focuses on all its main objective which is to designing and creating a Graphical User Interface (GUI) which can detect cancer node as well as the stage of the nodule cancer using App Designer in MATLAB software as well as analyzing the type of cancer stage by using a Computed Tomography (CT). Other than that, this project would use an Edge Detection method to determine the boundaries for each objects within the images. Besides that, this project also focus on using a Fuzzy C-Mean clustering method for the lung cancer segmentation and edge extraction. With regards to the Fuzzy C-Mean clustering approach, the outcome is not fixed to a single image iteration because it is dependent on the cluster that has been established. Thus, the more clusters applied to the image, the more varied the output of iteration. At the end, this project is capable to achieve the final result which is able to analyze and read the image as well as able to measure the size of cancer nodule by using GUI that been created in App Designer through MATLAB.

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