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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