Decoding the Heart
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The image portrays the synergistic relation between the two main aspects of my research - medical image analysis and coding strategies. I dynamically engage with both, symbolized by the reflections seen within the frames. The aim is to efficiently and accurately identify the left ventricle (LV) from 3D heart ultrasound (echocardiography) images.
By examining heart images, I am developing a machine learning (ML) assisted automated system that can efficiently and accurately locate the LV and analyze heart function. Working with cardiologists at the University Hospital, I strive to improve the efficiency of identifying heart diseases. I design, code, and train neural networks that continuously learn the principal features in these heart images. Once the trained ML model has generated its predicted outputs, I use medical imaging software to view, examine, and compare these ML outputs with the expert LV identification.
In my research, the fundamental interplay between these two domains is essential for advancing the understanding and capabilities of cardiovascular imaging.
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http://purl.org/coar/resource_type/c_c513
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en