Thyroid Nodule Recognition Based on Feature Selection and Pixel Classification Methods
Journal of Digital Imaging, 05/07/2012
Bibicu D et al. – It is found that the proposed approach is capable of identifying thyroid nodules with a correct classification rate of 83 % when whole image is analyzed and with a percent of 91 % when the region of interests (ROIs) are analyzed.
Twenty ultrasound images of normal thyroid and 20 that present thyroid nodules were used.
The analysis involves both the whole thyroid ultrasound images and the region of interests (ROIs).
The proposed system and the classification results are validated using the receiver operating characteristics which give a better overall view of the classification performance of methods.
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