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https://www.researchgate.net/publication/283968603_Computerized_decision_support_in_liver_steatosis_investigation
PDF On Jan 1, 2012, S. Moldovanu and others published Computerized decision support in liver steatosis investigation Find, read and cite all the research you need on ResearchGate
http://www.naun.org/multimedia/NAUN/bio/17-683.pdf
automatically recognize the steatosis liver texture as characteristic of the image. In the US steatosis liver automatic investigation domain our contribution was the study regarding the correlation of the binarization threshold with the image features and a new CADi approach has been developed for steatosis liver disease detection.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4335142/
Ultrasound imaging is a popular and noninvasive tool frequently used in the diagnoses of liver diseases. A system to characterize normal, fatty and heterogeneous liver, using textural analysis of liver Ultrasound images, is proposed in this paper. The proposed approach is able to select the optimum regions of interest of the liver images.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995875/
To meta-analyse the diagnostic accuracy of US, CT, MRI and [1] H-MRS for the evaluation of hepatic steatosis.From a comprehensive literature search in MEDLINE, EMBASE, CINAHL and Cochrane (up to November 2009), articles were selected that investigated ...Cited by: 376
https://bestpractice.bmj.com/topics/en-gb/796/investigations
Non-alcoholic hepatic steatosis, or non-alcoholic fatty liver disease (NAFLD), is the most common cause of chronic liver disease in the Western world. It is projected to become a leading indication for liver transplantation, superseding hepatitis C. The diagnosis of hepatic steatosis is based on ...
https://journals.sagepub.com/doi/10.1177/0161734616639875
Apr 19, 2016 · In this review, we first describe appearance of liver abnormalities in ultrasound images and state the practical issues encountered in characterization of diffuse liver diseases that can be addressed by software algorithms. We then discuss computer-aided diagnosis in general with features and classifiers relevant to diffuse liver diseases.Cited by: 13
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