Acute intracranial hemorrhage segmentation on brain images for volume quantification and individual detection

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United States of America

PATENT NO 12190523
APP PUB NO 20230316532A1
SERIAL NO

17651107

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Abstract

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Systems and methods for determining a segmentation of a hemorrhage are provided. An input medical image of a hemorrhage of a patient is received. A contour-sensitive segmentation of the hemorrhage from the input medical image is performed using a machine learning based contour-sensitive segmentation network. A detection-sensitive segmentation of the hemorrhage from the input medical image is performed using a machine learning based detection-sensitive segmentation network. A final segmentation of the hemorrhage from the input medical image is determined based on results of the contour-sensitive segmentation and results of the detection-sensitive segmentation. The final segmentation of the hemorrhage is output.

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SIEMENS HEALTHINEERS AGSIEMENSSTRASSE 3 FORCHHEIM 91301

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chekkoury, Andrei Erlangen, DE 5 3
Das, Jyotipriya Plainsboro, US 3 2
Eibenberger, Eva Nuremberg, DE 6 48
Georgescu, Bogdan Princeton, US 203 7044
Gibson, Eli Plainsboro, US 28 35
Re, Thomas New York, US 13 37
Yoo, Youngjin Princeton, US 19 30
Zhao, Gengyan Plainsboro, US 6 1

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