Statistical Parameter-based Automatic Liver Tumor Segmentation from Abdominal CT Scans: A Potiential Radiomic Signature

• Published in: Procedia computer science Vol. 93; pp. 446 - 452
• Main Authors: Kumar, Y. Rakesh, Muthukrishnan, N. Moorthy, Mahajan, Abhishek, Priyanka, P., Padmavathi, G., Nethra, M., Sneha, R., Thakur, Meenakshi H.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2016
• Subjects: Biomarker; CT scan; Morphological operations; Radiomics; Region growing; Statistical parameters; Thresholding; Biomarker; Region growing; Thresholding; Statistical parameters; CT scan; Morphological operations; Radiomics

Liver imaging using abdominal CT images has been widely studied in the recent years and is a challenging task. Processing CT image includes the automatic diagnosis of liver and lesions part. Because of the high intensity similarity between liver tissues and nearby organs of liver it is difficult to...