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AssigneeQuantum Surgical
InventorsMichael GIRARDOT, Lucien BLONDEL, Bertin NAHUM, Fernand BADANO
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The invention relates to a method for generating synthetic medical images representing an anatomy of interest and an anomaly within said anatomy of interest. The method comprises generating majority segmentation masks associated with real medical images without anomaly, generating minority segmentation masks associated with real medical images with an anomaly, training a neural network to generate a synthetic medical image on the basis of a segmentation mask, generating artificial segmentation masks on the basis of the majority and minority segmentation masks by combining a segmentation of the anatomy of interest by a majority segmentation mask with a segmentation of the anomaly by a minority segmentation mask, and generating synthetic medical images on the basis of the artificial segmentation masks and using the previously trained neural network.
A method for generating synthetic medical images representing an anatomy of interest and an anomaly within said anatomy of interest, said method comprising:
A device comprising one or more processor(s) and at least one storage medium that can be read by the one or more processor(s), the storage medium being intended to store majority segmentation masks and minority segmentation masks, each majority segmentation mask comprising a segmentation of an anatomy of interest visible on a majority real medical image of the anatomy of interest of a patient without an anomaly, each minority segmentation mask comprising a segmentation of an anomaly visible on a minority real medical image of the anatomy of interest of a patient with an anomaly within said anatomy of interest, wherein the storage medium comprises a set of program code instructions which, when the program is executed by the one or more processor(s), configure the one or more processor(s) in order to generate a set of artificial segmentation masks from the majority segmentation masks and from the minority segmentation masks stored on the storage medium, with each artificial segmentation mask being generated by combining the segmentation of the anatomy of interest of a majority segmentation mask with the segmentation of the anomaly of a minority segmentation mask.
Dependencies are inferred from the claim text.