Ultrasound image segmentation methods: A review

Breast cancer is one of the leading causes death in México and among world. This mainly due to late diagnosis price treatment. Ultrasound (US) most used tools for image-based assessment this disease, since it can help discriminate solid vs. cystic masses, as well between benign or malignant masses. However, ultrasound imaging depends largely on radiologists experience. A detection not depending such experience should produce better diagnosis; therefore, necessary develop automatic systems US images. These are based image segmentation, which an processing technique analyze group pixels by their features. segmentation represents important challenges complicated appearance healthy tumoral tissue that includes speckle pattern, low contrast, blurred boundaries, etc. In work, we provide a review tests comparisons various methods had helped detect lesions images, present some visual examples compare evaluate performance order computer-aided diagnostic do diagnoses.