Title : A Novel Approach For Diagnosis And Prognostic Analysis Of Abdominal Aortic Aneurysm With Digital Image Processing

Type of Material: Thesis
Title: A Novel Approach For Diagnosis And Prognostic Analysis Of Abdominal Aortic Aneurysm With Digital Image Processing
Researcher: ANANDH, S
Guide: VASUKI, R
Department: Department of Biomedical Engineering
Publisher: Bharath University, Chennai
Place: Chennai
Year: 2021
Language: English
Subject: Engineering
Engineering and Technology
Engineering Biomedical
Biomedical Engineering
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Biomedical Engineering, Bharath University, Chennai, Chennai; 2021; D16BM501
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_454845
040__|aBHAU_600073|dIN-AhILN
041__|aeng
100__|aANANDH, S|eResearcher
110__|aDepartment of Biomedical Engineering|bBharath University, Chennai|dChennai|ein|0U-0446
245__|aA Novel Approach For Diagnosis And Prognostic Analysis Of Abdominal Aortic Aneurysm With Digital Image Processing
260__|aChennai|bBharath University, Chennai|c2021
300__|dDVD
502__|bPhD|cDepartment of Biomedical Engineering, Bharath University, Chennai, Chennai|d2021|oD16BM501
520__|aAbdominal aorta aneurysm is preternatural focal dilation of the aorta. It occurs somewhere between the aortic hiatus diaphragm from the segmentation of common iliac blood vessels. AAAs typically grows at a rate of around 2.6-3.2 mm/ year. If it tends to exceed or grow faster, it results in a risk of rupture so early prediction of AAA helps to diagnose in an efficient way. To detect it in an effective way, image processing technique is applied to have a highly qualified result in diagnosis. Image processing plays a prominent role in estimating images with respect to various criteria. While processing the image, image segmentation is a crucial step. It performs a main role throughout the process. To provide an accurate result, medical image processing technique is not much efficient to determine the size and position of affected region of aneurysm. So, computer aided diagnostic tools were preferred. A clear scrutinization and learning are required by a specialist to recognize the problem in aneurysm. The obst
650__|aBiomedical Engineering|2UGC
650__|aEngineering and Technology|2AIU
653__|aEngineering
653__|aEngineering and Technology
653__|aEngineering Biomedical
700__|aVASUKI, R|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/321494|yShodhganga
905__|afromsg

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