Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/331711
Title: Radiological assessment of liver damage using soft computing
Researcher: Ignisha Rajathi, G
Guide(s): Wiselin Jiji, G
Keywords: Soft computing
Chronic liver disease
Hepatological issues
University: Anna University
Completed Date: 2020
Abstract: Liver is one of the largest and important organs in the human body which comprises of two granular lobes, one to the right and other to the left. It occupies a huge place on the upper right area in the abdomen. The vital role played by the liver organ includes removing waste products from human food, bile production, metabolic functions, blood purification by sensitizing digestion control and storage of vitamins and minerals. It is the essential organ for glycogen storage, hormone production, etc... Liver can be affected by various diseases and its chronic stage or liver dysfunction demands immediate medical attention. The chronic liver disease (CLD) depicts the major public health issue, noticing significant morbidity and mortality threat worldwide. CLD is estimated worldwide with a count upto 844 million people and has a mortality rate of about 2 million per year. CLD indicates the inflammatory condition of the liver which leads to cirrhosis or even partial or total liver dysfunction. The progression of this prognosis can lead to higher level of risk in developing liver failure. The most common liver diseases are fatty liver, fibrosis, cirrhosis, liver cancer, metastasis, etc Most of the hepatological issues arise gradually and can be diagnosed either by invasive or non-invasive approaches. An invasive diagnostic method is liver biopsy that is considered as the gold standard for the accurate estimation of liver diseases. Non-invasive methods such as Blood Serum Markers and Medical Imaging (Ultrasound - US, Magnetic Resonance MR and Computed Tomography - CT) for the assessment of liver diseases have emerged. newline
Pagination: xix,120p.
URI: http://hdl.handle.net/10603/331711
Appears in Departments:Faculty of Information and Communication Engineering

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06_acknowledgements.pdf484.87 kBAdobe PDFView/Open
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10_listofabbreviations.pdf113.78 kBAdobe PDFView/Open
11_chapter1.pdf259.92 kBAdobe PDFView/Open
12_chapter2.pdf320.64 kBAdobe PDFView/Open
13_chapter3.pdf558.93 kBAdobe PDFView/Open
14_chapter4.pdf556.32 kBAdobe PDFView/Open
15_conclusion.pdf90.35 kBAdobe PDFView/Open
16_references.pdf147.2 kBAdobe PDFView/Open
17_listofpublications.pdf114.34 kBAdobe PDFView/Open
80_recommendation.pdf73.02 kBAdobe PDFView/Open
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