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1.
公开(公告)号:US11250580B2
公开(公告)日:2022-02-15
申请号:US16580084
申请日:2019-09-24
Applicant: DENTSPLY SIRONA INC.
Inventor: Marcel Meyer , Sascha Schneider , Anders Adamson , Ruwen Schnabel
Abstract: A method, system and computer readable storage media for segmenting individual intra-oral measurements and registering said individual intraoral measurements to eliminate or reduce registration errors. An operator may use a dental camera to scan teeth and a trained deep neural network may automatically detect portions of the input images that can cause registration errors and reduce or eliminate the effect of these sources of registration errors.
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公开(公告)号:US11291404B2
公开(公告)日:2022-04-05
申请号:US16579995
申请日:2019-09-24
Applicant: DENTSPLY SIRONA INC.
Inventor: Ruwen Schnabel , Sascha Schneider , Anders Adamson , Marcel Meyer
Abstract: A method, system and computer readable storage media for defects in images during three-dimensional measurement of teeth. An operator may use a dental camera to scan teeth and a trained deep neural network may automatically detect portions of the input images having defects and generate output information regarding those defects for corrective measures to be taken.
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3.
公开(公告)号:US20210090272A1
公开(公告)日:2021-03-25
申请号:US16580084
申请日:2019-09-24
Applicant: DENTSPLY SIRONA INC.
Inventor: Marcel Meyer , Sascha Schneider , Anders Adamson , Ruwen Schnabel
Abstract: A method, system and computer readable storage media for segmenting individual intra-oral measurements and registering said individual intraoral measurements to eliminate or reduce registration errors. An operator may use a dental camera to scan teeth and a trained deep neural network may automatically detect portions of the input images that can cause registration errors and reduce or eliminate the effect of these sources of registration errors.
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公开(公告)号:US20210085238A1
公开(公告)日:2021-03-25
申请号:US16579995
申请日:2019-09-24
Applicant: DENTSPLY SIRONA INC.
Inventor: Ruwen Schnabel , Sascha Schneider , Anders Adamson , Marcel Meyer
Abstract: A method, system and computer readable storage media for defects in images during three-dimensional measurement of teeth. An operator may use a dental camera to scan teeth and a trained deep neural network may automatically detect portions of the input images having defects and generate output information regarding those defects for corrective measures to be taken.
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