ROBUST AND AUTOMATED LUNG NODULE DETECTION USING IMAGE PROCESSING TECHNIQUES
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Abstract
In the medical field among all the types of cancers, lung cancer is more serious disease. Detection of lung cancer in the beginning will recover the lifetime of the patient. Using image processing techniques, Computed tomography scan images are very useful to find lung cancer nodule. The image pre-processing methods are feature extraction, image enhancement and image segmentation. Watershed transformation and based on Gabor filter to find lung cancer nodule. This research paper aim is to find more precise results using different segmentation and enhancement techniques.
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