Authors
Akash Nayak, Esha Baidya Kayal, Manish Arya, Jayanth Culli, Sonal Krishan, Sumeet Agarwal, Amit Mehndiratta
Publication date
2019/8/1
Journal
International journal of computer assisted radiology and surgery
Volume
14
Pages
1341-1352
Publisher
Springer International Publishing
Description
Purpose
High mortality rate due to liver cirrhosis has been reported over the globe in the previous years. Early detection of cirrhosis may help in controlling the disease progression toward hepatocellular carcinoma (HCC). The lack of trained CT radiologists and increased patient population delays the diagnosis and further management. This study proposes a computer-aided diagnosis system for detecting cirrhosis and HCC in a very efficient and less time-consuming approach.
Methods
Contrast-enhanced CT dataset of 40 patients (n = 40; M:F = 5:3; age = 25–55 years) with three groups of subjects: healthy (n = 14), cirrhosis (n = 12) and cirrhosis with HCC (n = 14), were retrospectively analyzed in this study. A novel method for the automatic 3D segmentation of liver using modified region-growing segmentation technique was developed and …
Total citations
2020202120222023202461719204
Scholar articles
A Nayak, E Baidya Kayal, M Arya, J Culli, S Krishan… - International journal of computer assisted radiology …, 2019