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Automatic Diagnosis of Liver Tumor in Ct Images
Author(s) -
T. Dhiliphan Rajkumar,
Mohan Deepa,
Mrs. J. Jeyaranjani
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1116.1291s419
Subject(s) - liver tumor , computed tomography , radiology , medicine , artificial intelligence , abdomen , computer science , hepatocellular carcinoma
Medical Image Segmentation is the important tool for diagnosing tumor and for planning how to do treatment. The intention of this study is to detect tumor from CT liver images. Initially, liver is segmented from abdomen CT images. Then SVM Classification is included to classify the normal and abnormal liver structure. If it is abnormal then the tumor will be segmented from liver structure. This technique is computed using sensitivity, specificity and accuracy and is providing good result.

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