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Automated Measurement of Abdominal A...

Hashempour, Vahideh.

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Automated Measurement of Abdominal Aorta Diameter in Abdominal CT Scan Images Using AI-Driven Image Processing.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Automated Measurement of Abdominal Aorta Diameter in Abdominal CT Scan Images Using AI-Driven Image Processing./
作者:	Hashempour, Vahideh.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:	40 p.
附註:	Source: Masters Abstracts International, Volume: 86-03.
Contained By:	Masters Abstracts International86-03.
標題:	Computer engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31490267
ISBN:	9798384079507

Automated Measurement of Abdominal Aorta Diameter in Abdominal CT Scan Images Using AI-Driven Image Processing.
Hashempour, Vahideh.

Automated Measurement of Abdominal Aorta Diameter in Abdominal CT Scan Images Using AI-Driven Image Processing. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 40 p.

Source: Masters Abstracts International, Volume: 86-03.

Thesis (M.S.)--The University of Texas at San Antonio, 2024.

Measuring the diameter of the abdominal aorta accurately is essential for the early detection and management of vascular conditions, including aneurysms. Traditional manual measurement methods using abdominal CT scan images are prone to variability and inefficiency. This thesis investigates the utilization of artificial intelligence (AI) techniques in image processing to automate and enhance the measurement of the abdominal aorta diameter. By leveraging deep learning models and convolutional neural networks, the study develops an AI-based system capable of identifying and measuring the aorta with high precision from CT scans. Findings indicate that the AI approach not only expedites the measurement process but also maintains high accuracy, suggesting a significant potential for clinical application. This work demonstrates the transformative impact of AI on medical imaging and its role in advancing diagnostic accuracy and efficiency.

ISBN: 9798384079507Subjects--Topical Terms:

621879
Computer engineering.
Subjects--Index Terms:

Abdominal aorta

Automated Measurement of Abdominal Aorta Diameter in Abdominal CT Scan Images Using AI-Driven Image Processing.
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500 $a Source: Masters Abstracts International, Volume: 86-03.
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520 $a Measuring the diameter of the abdominal aorta accurately is essential for the early detection and management of vascular conditions, including aneurysms. Traditional manual measurement methods using abdominal CT scan images are prone to variability and inefficiency. This thesis investigates the utilization of artificial intelligence (AI) techniques in image processing to automate and enhance the measurement of the abdominal aorta diameter. By leveraging deep learning models and convolutional neural networks, the study develops an AI-based system capable of identifying and measuring the aorta with high precision from CT scans. Findings indicate that the AI approach not only expedites the measurement process but also maintains high accuracy, suggesting a significant potential for clinical application. This work demonstrates the transformative impact of AI on medical imaging and its role in advancing diagnostic accuracy and efficiency.
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653 $a Computed tomography
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