A comparative generated dense optical-flow frames of the original echocardiogram versus the U-Net processed echocardiogram.
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posted on 2024-09-12, 17:31 authored by Sazzli Kasim, Junjie Tang, Sorayya Malek, Khairul Shafiq Ibrahim, Raja Ezman Raja Shariff, Jesvinna Kaur ChimaRepresentation includes the sample frame of input video, the generated optical flow frame, which are visually enhanced with colour arrows to indicate the direction and magnitude of motion, for both (a) Apical 2 View and (b) Apical 4 View.
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single echocardiographic cyclemotion field featuresmethod &# 8217heart &# 8217diastolic phases withincycle cardiac data95 %, reinforcing61 %, precision13 %, specificitytemporal segment networktemporal convolutional networksdeep learning classifiersmethodology synergizes uclassifier also attainedapproach may overlookintegrating machine learningenhance detection accuracyoptical flow algorithmslv contour annotationsa4c views echocardiogramsreliable rwma detectionmachine learningoptical flow52 %,early detectionoverall accuracyinnovative approachincorporates ualso contributestemporal convnetxlink ">tsn ),successful treatmentstudies usingqu datasetsput forwardprecise toolpeak valuesnovel techniquemyocardial infarctionleft ventricularkey framesglobal leaderfold crossf1 scoreearly indicatordisplacement curvesdetect rwma39 %.
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