Image processing based detection of lung cancer on CT scan images

Bariqi Abdillah, Alhadi Bustamam, Devvi Sarwinda

Research output: Contribution to journalConference articlepeer-review

40 Citations (Scopus)


In this paper, we implement and analyze the image processing method for detection of lung cancer. Image processing techniques are widely used in several medical problems for picture enhancement in the detection phase to support the early medical treatment. In this research we proposed a detection method of lung cancer based on image segmentation. Image segmentation is one of intermediate level in image processing. Marker control watershed and region growing approach are used to segment of CT scan image. Detection phases are followed by image enhancement using Gabor filter, image segmentation, and features extraction. From the experimental results, we found the effectiveness of our approach. The results show that the best approach for main features detection is watershed with masking method which has high accuracy and robust.

Original languageEnglish
Article number012063
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 28 Oct 2017
EventAsian Mathematical Conference 2016, AMC 2016 - Nusa Dua, Bali, Indonesia
Duration: 25 Jul 201629 Jul 2016


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