Abstract: The present invention relates to determining phase information of a fluid sample. At least one image of the fluid sample including the phase information of the fluid sample is provided. Additionally, a data driven model which comprises at least one output channel for the phase information is provided. The at least one output channel includes at least one output channel for classifying a boundary between two phases of the fluid sample, such that the phase information includes information about a property of the boundary between the two phases, such as a height, a volume, a type, or a strength of the boundary. The phase information of the fluid sample is derived based on the data driven model and the at least one image of the fluid sample including the phase information of the fluid sample.

Abstract: A method, system and computer readable storage media for obtaining 3D dental restoration geometries from 2D dental designs. This may include obtaining a training dataset, training the neural network using the training dataset, taking a scan of a patient, such as a 3D measurement of a patient's oral cavity, obtaining a 2D dental design, producing a 3D dental restoration geometry using the obtained 2D dental design and the trained neural network.

Abstract: A method, system and computer readable storage media for obtaining 3D dental restoration geometries from 2D dental designs. This may include obtaining a training dataset, training the neural network using the training dataset, taking a scan of a patient, such as a 3D measurement of a patient's oral cavity, obtaining a 2D dental design, producing a 3D dental restoration geometry using the obtained 2D dental design and the trained neural network.