US 12,236,591 B2
Method and system for parallel processing for medical image
Donggeun Yoo, Seoul (KR)
Assigned to LUNIT INC., Seoul (KR)
Filed by LUNIT INC., Seoul (KR)
Filed on Aug. 11, 2022, as Appl. No. 17/885,611.
Claims priority of application No. 10-2021-0105889 (KR), filed on Aug. 11, 2021; and application No. 10-2022-0022243 (KR), filed on Feb. 21, 2022.
Prior Publication US 2023/0052847 A1, Feb. 16, 2023
Int. Cl. G16H 70/60 (2018.01); G06T 7/00 (2017.01); G06V 10/22 (2022.01); G06V 10/774 (2022.01); G16H 30/40 (2018.01)
CPC G06T 7/0012 (2013.01) [G06V 10/22 (2022.01); G06V 10/774 (2022.01); G16H 30/40 (2018.01); G16H 70/60 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01); G06V 2201/03 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method for parallel processing a digitally scanned pathology image, the method being performed by a plurality of processors and comprising:
performing, by a first processor, a first operation of generating a first batch from a first set of patches extracted from a digitally scanned pathology image and providing the generated first batch to a second processor;
performing, by the first processor, a second operation of generating a second batch from a second set of patches extracted from the digitally scanned pathology image and providing the generated second batch to the second processor; and
performing, by the second processor, a third operation of outputting a first analysis result from the first batch by using a machine learning model, wherein
at least a part of a time frame for the second operation performed by the first processor overlaps with at least a part of a time frame for the third operation performed by the second processor.