2023
DOI: 10.32604/csse.2023.030697
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Liver Tumors Segmentation Using 3D SegNet Deep Learning Approach

Abstract: An ultrasonic filter detects signs of malignant tumors by analysing the image's pixel quality fluctuations caused by a liver ailment. Signs of malignant growth proximity are identified in an ultrasound filter through image pixel quality variations from a liver's condition. Those changes are more common in alcoholic liver conditions than in other etiologies of cirrhosis, suggesting that the cause may be alcohol instead of liver disease. Existing Two-Dimensional (2D) ultrasound data sets contain an accuracy rate… Show more

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Cited by 3 publications
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