The invention provides an echocardiogram video abstraction method based on a hierarchical space-time attention mechanism, and the method comprises the steps: obtaining an echocardiogram, inputting the echocardiogram into an
anatomy and physiological basic model of a
key frame recognition task, and obtaining
key frame information; inputting the
key frame information into a multi-dimensional spatial-temporal
feature extraction model to obtain feature information and
frequency domain information; fusing the feature information and the
frequency domain information; performing key frame enhancement
processing on the fusion information by adopting an SE channel attention mechanism to obtain key frame
anatomical feature expression;
processing the key frame
anatomical feature expression by adopting a key frame
backtracking strategy and a classification network to obtain a key frame identification
classification result; performing left
ventricle segmentation on the classified image by adopting an improved U-Net left
ventricle region segmentation network; estimating the area and volume of the left
ventricle based on a segmentation result; fusing the estimated left ventricular area and volume by adopting a hierarchical attention mechanism and a cross-layer
information fusion strategy to obtain a
ventricular volume result; according to the method, through abstract extraction of the key information of the ultrasonic cardiac video, the clinical practicability of intelligent screening and auxiliary diagnosis of cardiovascular diseases based on ultrasonic is improved.