Northwestern University

The Penn State Research Foundation

Sinai Health System

Zhuomin Zhang

James Z Wang

William Parks

Yukun Chen

Alison Gernand

Dolzodmaa Davaasuren

Jeffery Goldstein

Chenyan Wu

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.

Systems and methods utilizing artificial intelligence for placental assessment and examination

Growing community of inventors

State College, PA, United States of America

Zhuomin Zhang