Abstract
The human body metabolism is maintained by proper segregation of thyroid hormones from thyroid gland. The abnormal cells are formed in this thyroid gland due to improper food habits and genes from forefathers. These abnormal cells lead to the development of tumor regions in the thyroid gland. In this paper, a tumor region in thyroid ultra sound image is detected and segmented using Co-Active Adaptive Neuro Fuzzy Expert System (CANFES) classification framework with its improved performance. The proposed framework is split into three main modules as Enhancement, Gabor transform, CANFES classification trained by feature extraction process with tumor segmentation method. The extracted features are optimized using Genetic Algorithm (GA). The CANFES classification with GA improves approximately 2.5% of classification rate when compared with CANFES classification without GA This proposed system achieves 97.7% of sensitivity, 99.8% of specificity and 99.1% of accuracy.
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