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Parallel Multispectral Image Segmentation for Computer Aided Thyroid Cytology

  • Shishir Shah
  • Edgar Gabriel
Chapter

Abstract

Cancer continues to remain a major health problem in the United States, with one of two men and one of three women developing cancer in their lifetime. Thyroid nodule is one of many common cancers. Nodules are more common in women and increase in frequency with age and with decreasing iodine intake. It has been estimated that up to 20% of the world population [1, 2] and approximately 50% of 60-year-old persons [4] have palpable thyroid nodule or nodules. In the US, up to 7% of the adult population has a palpable thyroid nodule [3]. The clinical spectrum ranges from the incidental, asymptotic, small, solitary nodule, in which the exclusion of cancer is a major concern, to the large, partly intrathoracic nodule that causes pressure symptoms, for which treatment is warranted regardless of cause [4, 5] . The most common cytologic diagnoses of thyroid nodules are colloid nodules, cysts, thyroiditis, follicular neoplasm, and thyroid carcinomas. Colloid nodules are the most common and do not have an increased risk of malignancy, therefore, the choice of management is conservative. Follicular neoplasm includes follicular adenoma and follicular carcinoma, which cannot be distinguished visually from each other based on cytology and the management remains controversial [2, 4, 5]. Thyroid carcinoma occurs in roughly 10% of all palpable nodules and the management is surgical removal [41].

Keywords

Thyroid Nodule Fine Needle Aspiration Cytology Message Passing Interface Multispectral Image Follicular Adenoma 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of HoustonHoustonUSA

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