20250217663. Defe (Solventum Intellectual Properties)
Defect Detection, Mesh Cleanup, and Mesh Cleanup Validation in Digital Dentistry
Abstract: systems and techniques for training one or more neural networks to automatically identify one or more aspects of a digital representation used in digital oral care are disclosed including identifying one or more aspects of the first digital representation for which additional processing is to be performed, based on a list of 3d elements, generating a predicted representation by labeling those one or more aspects for which additional processing is to be performed, generating an accuracy score that specifies a difference between the one or more predicted representations and one or more respective reference representations that identify the one or more aspects of the first digital representation for which additional processing is to be performed, and modifying at least one aspect of the neural network based on the accuracy score.
Inventor(s): Steve C. Demlow, Marie D. Manner, David K. Cinader, JR., Jonathan D. Gandrud, Seyed Amir Hossein Hosseini, Wenbo Dong, Thomas B Worm
CPC Classification: G06N3/096 (Transfer learning)
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- Patent Applications
- Solventum Intellectual Properties Company
- CPC G06N3/096
- Steve C. Demlow of Mendota Heights MN US
- Marie D. Manner of St. Paul MN US
- David K. Cinader, JR. of Woodbury MN US
- Jonathan D. Gandrud of Woodbury MN US
- Seyed Amir Hossein Hosseini of St. Paul MN US
- Wenbo Dong of Lakeville MN US
- Thomas B Worm of Lake Elmo MN US