Background: Lung cancer is the leading cause of cancer death and it is identified at the
ending stage of the severity. The differentiation between lesions and its background tissues are difficult
task due to its low contrast between lesions and its background tissues. Lesion characterization
is also a difficult task due to similar texture pattern between the lung tumors and normal lung
Methods: In this paper, the computer aided automatic detection and classification of lung tumor is
proposed. The multi resolution Gabor transform is applied over the lung image and then features
such as local derivative and local ternary patterns are extracted from the transformed image. The
extracted features are optimized by Genetic Algorithm (GA) and then classified using Adaptive
Neuro Fuzzy Inference System (ANFIS) classifier.
Conclusion: The proposed system for lung tumor detection system achieves 98.18% accuracy.
Keywords: Computer Aided Diagnosis (CAD), classification, lung tumor, medical image processing, segmentation.
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