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An improved segmentation method for lung cancer detection

Ahmad Amiruddin Almukhtar, Kamarudin (2019) An improved segmentation method for lung cancer detection. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang.

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Abstract

Segmentation is one of the image processing technique which is use to segments an object from the background of an image. Problems may occur when segmenting an object from background normally due to cases such inhomogeneity intensity and others. This research proposed new segmentation method to be use in lung cancer diagnosis or detection purpose. Methods of image segmentation from every article are analyzed basically for advantage, features and drawbacks of each proposed method. Research suggest a combination of model, which have been proposed in other thesis or article with their results. Best model from reviewed articles which suggest best results is chosen, model A and model B to be combined and produce much better results in terms of accuracy and efficiency.

Item Type: Undergraduates Project Papers
Additional Information: Project Paper (Bachelors of Computer Science (Graphics And Multimedia Technology)) -- Universiti Malaysia Pahang – 2019, SV: MUHAMMAD NOMANI KABIR, e-Thesis
Uncontrolled Keywords: Segmentation; image processing; lung cancer diagnosis
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Sufarini Mohd Sudin
Date Deposited: 16 Dec 2019 08:49
Last Modified: 17 Dec 2019 02:20
URI: http://umpir.ump.edu.my/id/eprint/26921
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