Invention Grant
- Patent Title: Systems and methods utilizing artificial intelligence for placental assessment and examination
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Application No.: US16996342Application Date: 2020-08-18
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Publication No.: US11244450B2Publication Date: 2022-02-08
- Inventor: Alison Gernand , James Z. Wang , Jeffery Goldstein , William Parks , Yukun Chen , Zhuomin Zhang , Dolzodmaa Davaasuren , Chenyan Wu
- Applicant: THE PENN STATE RESEARCH FOUNDATION
- Applicant Address: US PA University Park
- Assignee: THE PENN STATE RESEARCH FOUNDATION
- Current Assignee: THE PENN STATE RESEARCH FOUNDATION
- Current Assignee Address: US PA University Park
- Agency: Dinsmore & Shohl LLP
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/11 ; G06K9/62 ; G06N3/04

Abstract:
Systems and methods for completing a morphological characterization of an image of a placenta and providing suggested pathological diagnoses are disclosed. A system includes programming instructions that, when executed, cause processing devices to execute commands according to the following logic modules: an Encoder module that receives the digital image of the placenta and outputs a pyramid of feature maps, a SegDecoder module that segments the pyramid of feature maps on a fetal side image and on a maternal side image, a Classification Subnet module that classifies the fetal side image and the maternal side image, and a convolutional IPDecoder module that localizes an umbilical cord insertion point of the placenta from the classified fetal side image and the classified maternal side image. The localized umbilical cord insertion point, segmentation maps for the classified fetal side and maternal side images are provided to an external device for determining the morphological characterization.
Public/Granted literature
- US20210056691A1 SYSTEMS AND METHODS UTILIZING ARTIFICIAL INTELLIGENCE FOR PLACENTAL ASSESSMENT AND EXAMINATION Public/Granted day:2021-02-25
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