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.
Methods- 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.
