Detection of aortic valve using deep learning approaches
Document Type
Conference Item
Publication Date
1-1-2021
Abstract
Detection of the aortic valve is one of the critical processes in the diagnosis of cardiovascular diseases. Automatic detection of the aortic valve can assist in improving the diagnostic precision and can further be used for different medical studies like image registration and segmentation. The manual detection of the aortic valve is time-consuming and labor-intensive. The machine learning method is utilized for the automatic detection of the aortic valve in this preliminary study. AlexNet convolutional neural network architecture is used due to its high accuracy for the desired purpose. The trained model was tested on a patient dataset of 120 andthe method was found to be able to detectthe aortic valve 95% accurately.
Keywords
Aortic valve, Deep learning, Detection
Divisions
biomedengine
Funders
None
Event Title
2020 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2020
Event Location
Virtual, Langkawi Island
Event Dates
1 - 3 March 2021
Event Type
conference