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Fig. 3 | Journal of Cardiovascular Magnetic Resonance

Fig. 3

From: MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study

Fig. 3

Adapted convolutional neural network architecture with a residual learning framework, ResNet50 [35], used in this study for automated mitral valve point tracking. With a given input image with size \(m \times n\), the network outputs two mitral valve points \(\{x_1, y_1, x_2, y_2\}\) in Cartesian coordinates

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