Image texture analysis of sonograms in chronic inflammations of thyroid gland
UNSPECIFIED (2003) Image texture analysis of sonograms in chronic inflammations of thyroid gland. ULTRASOUND IN MEDICINE AND BIOLOGY, 29 (11). pp. 1531-1543. ISSN 0301-5629Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/S0301-5629(03)01049-4
The current practice in assessing sonographic findings of chronic inflamed thyroid tissue is mainly qualitative, based just on a physician's experience. This study shows that inflamed and healthy tissues can be differentiated by automatic texture analysis of B-mode sonographic images. Feature selection is the most important part of this procedure. We employed two selection schemes for finding recognition-optimal features: one based on compactness and separability and the other based on classification error. The full feature set included Muzzolini's spatial features and Haralick's co-occurrence features. These features were selected on a set of 2430 sonograms of 81 subjects, and the classifier performance was evaluated on a test set of 540 sonograms of 18 independent subjects. A classification success rate of 100% was achieved with as few as one optimal feature among the 129 texture characteristics tested. Both selection schemes agreed on the best features. The results were confirmed on the independent test set. The stability of the results with respect to sonograph setting, thyroid gland segmentation and scanning direction was tested.
|Item Type:||Journal Article|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General)
|Journal or Publication Title:||ULTRASOUND IN MEDICINE AND BIOLOGY|
|Publisher:||ELSEVIER SCIENCE INC|
|Number of Pages:||13|
|Page Range:||pp. 1531-1543|
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