SEGMENTATION OF LIVER ULTRASOUND IMAGES USING GAUSSIAN KERNEL FUZZY CLUSTERING AND REGION BASED ACTIVE CONTOUR MODEL

Jasdeep Kaur, Bhwana Utreja

Abstract: Since liver disease is the 6th most regular threatening tumor on the planet and the third most normal reason for malignancy related deaths around the world. Subsequently, it is imperative to create a typical standard instrument, for detection of tumors which can perform determination with same ground criteria consistently all over the world. in this work, we have introduces a noble method for detection of tumor in liver ultrasound images. in existed work, little work has been found on liver segmentation. Then active contour segmentation has been carried out to segment the tumor region in the image. Experimental results shows approx. 95% accuracy rates on the dataset collected for evaluating the algorithm

Keywords: LIVER ULTRASOUND

DOI: https://doi.org/10.15623/ijret.2016.0508004