Background: Thyroid cancer is a commonly occurred cancer in all men and women
around the world. This cancer can be cured if it is timely detected by proper treatment. This paper
proposes a computer aided detection and screening of thyroid cancer using Adaptive Neuro Fuzzy
Inference (ANFIS) classifier.
Methods: The proposed methodology has the following stages such as preprocessing, feature extraction
and classification. Gaussian filter is used in the preprocessing stage to smooth the edge regions
in thyroid image and further features are extracted from the preprocessed thyroid image. These
extracted features are trained and classified using ANFIS classifier to classify the thyroid image
into either benign or malignant.
Results: The morphological operations are further applied on the classified thyroid image to segment
the cancer region. The performance of the proposed thyroid cancer detection system is analyzed
in terms of sensitivity, specificity and accuracy.