Pseudo-data generation apparatus, pseudo-data generation method, learning apparatus and learning method
AssigneeCanon Kabushiki Kaisha
InventorHidenori Takeshima
Life of this patent
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Abstract
According to one embodiment, a pseudo-data generation apparatus includes processing circuitry. The processing circuitry acquires one or more pieces of partial observation data that form part of whole observation data. The processing circuitry generates pseudo-whole observation data by inputting the one or more pieces of partial observation data to a function, the pseudo-whole observation data being pseudo-data of the whole observation data. The function is optimized by training so that partial observation data for training and pseudo-partial observation data for training resemble each other, the pseudo-partial observation data for training being obtained by converting the pseudo-whole observation data for training.
Claims4
A pseudo-data generation apparatus for generating whole observation data which is unavailable and impossible to observe, the pseudo-data generation method comprising:
- processing circuitry configured to:
- acquire one or more pieces of partial observation data that form part of the whole observation data, the whole observation data being three-dimensional volume magnetic resonance moving image data;
- and
- generate pseudo-whole observation data by inputting the one or more pieces of partial observation data to a function, the pseudo-whole observation data being pseudo-data of the whole observation data,
- wherein the function is optimized by training, without using the unavailable whole observation data, so that partial observation data for training and pseudo-partial observation data for training resemble each other, the pseudo-partial observation data for training being obtained by converting pseudo-whole observation data for training, and
- wherein the pseudo-whole observation data for training is generated using the function, from the partial observation data for training.
A pseudo-data generation method for generating whole observation data which is impossible to observe and unavailable, the pseudo-data generation method comprising:
- acquiring one or more pieces of partial observation data that form part of whole observation data, the whole observation data being three-dimensional volume magnetic resonance moving image data;
- and
- generating pseudo-whole observation data by inputting the one or more pieces of partial observation data to a function, the pseudo-whole observation data being pseudo-data of the whole observation data,
- wherein the function is optimized by training, without using the unavailable whole observation data, so that partial observation data for training and pseudo-partial observation data for training resemble each other, the pseudo-partial observation data for training being obtained by converting pseudo-whole observation data for training, and
- wherein the pseudo-whole observation data for training is generated using the function, from the partial observation data for training.
Dependencies are inferred from the claim text.