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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