International Journal of Computer Vision
Segmentation of Meningiomas and Low Grade Gliomas in MRI
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Segmentation of Medical Images with Regional Inhomogeneities
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Fuzzy Local Binary Patterns for Ultrasound Texture Characterization
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Feature-based lung nodule classification
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
TND: A Thyroid Nodule Detection System for Analysis of Ultrasound Images and Videos
Journal of Medical Systems
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Ultrasound imaging of thyroid gland provides the ability to acquire valuable information for medical diagnosis. This study presents a novel scheme for the analysis of longitudinal ultrasound images aiming at efficient and effective computer-aided detection of thyroid nodules. The proposed scheme involves two phases: a) application of a novel algorithm for the detection of the boundaries of the thyroid gland and b) detection of thyroid nodules via classification of Local Binary Pattern feature vectors extracted only from the area between the thyroid boundaries. Extensive experiments were performed on a set of B-mode thyroid ultrasound images. The results show that the proposed scheme is a faster and more accurate alternative for thyroid ultrasound image analysis than the conventional, exhaustive feature extraction and classification scheme.