-
公开(公告)号:US11810287B2
公开(公告)日:2023-11-07
申请号:US17571399
申请日:2022-01-07
Applicant: Genentech, Inc.
Inventor: Zheng Li , Calvin Tsay
CPC classification number: G06T7/0004 , G06F16/53 , G06F17/15 , G06N3/04 , G06N20/00 , G06T2207/20081 , G06T2207/20084
Abstract: In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular angle of the container of the pharmaceutical product, calculating one or more confidence scores associated with one or more defect indications, respectively for the container of the pharmaceutical product, by processing the one or more querying images using a target machine-learning model, and determining a defect indication for the container of the pharmaceutical product from the one or more defect indications based on a comparison between the one or more confidence scores and one or more predefined threshold scores, respectively.
-
公开(公告)号:US11263738B2
公开(公告)日:2022-03-01
申请号:US16654200
申请日:2019-10-16
Applicant: GENENTECH, INC.
Inventor: Zheng Li , Calvin Tsay
Abstract: In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular angle of the container of the pharmaceutical product, calculating one or more confidence scores associated with one or more defect indications, respectively for the container of the pharmaceutical product, by processing the one or more querying images using a target machine-learning model, and determining a defect indication for the container of the pharmaceutical product from the one or more defect indications based on a comparison between the one or more confidence scores and one or more predefined threshold scores, respectively.
-
公开(公告)号:US12205386B2
公开(公告)日:2025-01-21
申请号:US17841610
申请日:2022-06-15
Applicant: Genentech, Inc.
Inventor: Zheng Li , Mandy Man Chu Yim , Bibi Ephraim , Dat Tran , Xinyu Liu , David Shaw
Abstract: A method includes, by a computing system, receiving a querying image depicting a sampling area, processing the querying image using a single cluster detection model to identify one or more regions of the querying image depicting a cluster in the sampling area, processing the one or more regions using a cluster verification deep-learning model to determine whether each depicted cluster is a cell cluster, and determining that exactly one of the identified one or more regions depicts a cluster that is a cell cluster. The method further includes processing the region depicting the cell cluster using a morphology deep-learning model to determine that there is only one cell in the cell cluster and to determine that die morphology of the cell is acceptable.
-
-