A Qualitative Review on Image Processing Algorithms to Detect Early Stage Lung Cancer
Raja Rao. Cheela, Research Scholar, Department of Electronics & Communication Engineering, Sri Satya Sai University of Technology and Medical Sciences, Sehore, Bhopal (M.P.) India.
Manuscript received on 15 February 2017 | Revised Manuscript received on 22 February 2017 | Manuscript Published on 28 February 2017 | PP: 83-88 | Volume-6 Issue-3, February 2017 | Retrieval Number: C4838026317/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nowa days, the image processing algorithms are being usedwidely in medical systems for detection of lung cancer. It is observed that the life span rate of lung cancer patients increases from 15 to 50% if they were detected at early stages. Detection of cancer cells is the most important issue for medical researchers as it becomes more complex in the treatment process. The detection steps of presence of cancerous cells include image pre-processing, segmentation, feature extraction and classification. In this paper, algorithms for enhancement, segmentation and feature extractionto detect the cancerous tumors which are small and large in size from the lung CT scan images are reviewed. Finally thealgorithms are compared with one another using three parameters called accuracy, sensitivity and specificity.
Keywords: CT Images, Image Preprocessing, Segmentation, Enhancement, Feature Extraction and Classification.
Scope of the Article: Image Preprocessing