• Dr. Mohammed Abdul Waheed
• MOHAMMADI BEGUM

Abstract— The primary goal of this paper is to recognize Focal Liver Lesions(FLL) in contrast-enhanced ultrasound videos. This work also extended to find the features of FLL such as the diameter of the tumour and the growing intensity of the tumour. This work provides a computational platform to help radiologist in recognizing FLLs. The CEUS videos exhibit dissimilar patterns at various stages of temporal phase. We present a novel structured method to overcome this challenge, which identify various number of discriminative Region Of Interest and based on this ROI FLLs are recognized. This method uses k-mean classifier to discover various ROI enhancement patterns. This method is simple and effective for FLL recognition.

IndexTerms : FLL (Focal Liver Lesions), ROI (Region of Interest) , CEUS (Contrast enhanced Ultrasound).

"A DYNAMIC LIVER LESSION DETECTION TECHNIQUE AND EVALUATION OF LESSION COMPLEXITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.756-761, June 2019, Available :http://www.jetir.org/papers/JETIR1907B32.pdf

"A DYNAMIC LIVER LESSION DETECTION TECHNIQUE AND EVALUATION OF LESSION COMPLEXITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp756-761, June 2019, Available at : http://www.jetir.org/papers/JETIR1907B32.pdf