A computer-aided-diagnosis of tonsillitis using tonsil size and color

Tonsillitis disease is a major cause of serious diseases such as heart attack and pneumonia. This paper proposes a computer-aided-diagnosis of tonsillitis using tonsil size and color. In this method, we employ red color and tonsil size as features. In order to detect the abnormal features, the proposed idea considers a trend of changing the features in each day. The change of tonsillitis features in each day would be computed in order to input into a decision model. As the features (color and size) are so difficult to exactly divide into each range, this paper applies a fuzzy logic as a decision unit. To evaluate the performance of the proposed method, the experiments with tonsillitis images are performed. The results reveal about 84 % accuracy for tonsillitis detection