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Thyroid Texture Representation via Noise Resistant Image Features
2008 21st IEEE International Symposium on Computer-Based Medical Systems
The robustness of textural features on speckle noise is of vital importance for ultrasound imaging. A set of novel fuzzy features for thyroid ultrasound texture representation, demonstrating noise-resistant properties, is presented, analyzed and evaluated in this study. The textural feature extraction scheme is based on the fuzzyfication of the local binary pattern approach. The proposed features are evaluated on an annotated dataset of B-mode thyroid ultrasound images acquired from 75doi:10.1109/cbms.2008.108 dblp:conf/cbms/KeramidasIMD08 fatcat:2hedf37wjvhmdbfb22m4qk6ij4