Automatic Segmentation, Detection, and Diagnosis of Abdominal Aortic Aneurysm (AAA) Using Convolutional Neural Networks and Hough Circles Algorithm

Purpose An abdominal aortic aneurysm (AAA) is known as a cardiovascular disease involving localized deformation (swelling or enlargement) of aorta occurring between the renal and iliac arteries. AAA would jeopardize patients’ lives due to its rupturing risk, so prompt recognition and diagnosis of th...

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Veröffentlicht in:	Cardiovascular engineering and technology 2019-09, Vol.10 (3), p.490-499
Hauptverfasser:	Mohammadi, Saba, Mohammadi, Mahdi, Dehlaghi, Vahab, Ahmadi, Arash
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdomen Accuracy Algorithms Aneurysms Angiography Aorta Aorta, Abdominal - diagnostic imaging Aorta, Abdominal - physiopathology Aortic Aneurysm, Abdominal - classification Aortic Aneurysm, Abdominal - diagnostic imaging Aortic Aneurysm, Abdominal - physiopathology Aortography Arteries Artificial neural networks Automation Biomedical Engineering and Bioengineering Biomedicine Cardiology Case-Control Studies Classifiers Computation Computed tomography Computed Tomography Angiography Coronary vessels Diagnosis Engineering Enlargement Humans Image classification Image detection Image segmentation Medical imaging Neural networks Neural Networks, Computer Original Article Predictive Value of Tests Prognosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Risk Rupturing
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