Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging

<div>Representative example of the segmented LV endocardial contours of the ED frame (a) and the ES frame (b) by the CNN model from the first slice (apex) to the tenth slice (basal) in the end-expiration.</div>

Computational and Mathematical Methods in Medicine

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Figure 11

Figure 11: Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging 

Figure 11 | Convolutional Neural Network for the Detection of End-Diastole and End-Systole Frames in Free-Breathing Cardiac Magnetic Resonance Imaging 