Method and system for providing an at least 3-dimensional medical image segmentation of a structure of an internal organ

A system for generating at least one 4-dimensional medical image segmentation for at least one structure of a human heart, comprising:

• a computing device configured to implement:
• an input module configured to provide a first 4-dimensional medical image of the at least one structure of the human heart, the medical image being based on a computed tomography scan image;
• and
• a controller implementing at least one first trained artificial neural network, wherein the trained artificial neural network is configured as a convolutional processing network with U-net architecture, wherein each convolutional processing network with U-net architecture comprises:
• a down-sampling path comprising at least two processing convolutional blocks and at least two down-sampling blocks;
• an up-sampling path comprising at least two processing convolutional blocks and at least two up-sampling blocks;
• wherein the down-sampling path generates a direct input and/or an indirect input for the up-sampling path;
• wherein the first trained artificial neural network is trained and configured to generate a segmentation of at least part of the provided first 4-dimensional medical image;
• and
• an output module configured to generate at least one 4-dimensional medical image segmentation based at least on the segmentation generated by the at least one first trained artificial neural network.