EP 4100966 A1 20221214 - SYSTEMS CONFIGURED FOR AREA-BASED HISTOPATHOLOGICAL LEARNING AND PREDICTION AND METHODS THEREOF
Title (en)
SYSTEMS CONFIGURED FOR AREA-BASED HISTOPATHOLOGICAL LEARNING AND PREDICTION AND METHODS THEREOF
Title (de)
SYSTEME FÜR AREALBASIERTES HISTOPATHOLOGISCHES LERNEN, VORHERSAGE UND VERFAHREN DAFÜR
Title (fr)
SYSTÈMES CONFIGURÉS POUR UNE PRÉDICTION ET UN APPRENTISSAGE HISTOPATHOLOGIQUES BASÉS SUR UNE ZONE ET PROCÉDÉS ASSOCIÉS
Publication
Application
Priority
- US 202062970348 P 20200205
- US 2021016866 W 20210205
Abstract (en)
[origin: CN115335920A] Histopathologic scoring can be based on regions of certain types of cells identified by bioassays or expression of genotypic or phenotypic features of these cells. Automated scoring process using an image analysis algorithm includes correct delineation of a region of interest, this process being referred to as segmentation. This system and method accomplishes such segmentation using a generative adversarial network trained to generate a mask covering each region of interest. The present invention can perform both segmentation and classification by using a separate image band for each classification. By interpreting individual image bands for each region, a scoring algorithm may utilize, for example, classification of tumor regions and immune cell stained regions. Classification problems with more image bands will use images with equal number of image bands. There is no limitation on the number of image bands that the image can encode for each pixel.
IPC 8 full level
G16H 50/00 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01)
CPC (source: EP)
G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G16H 10/40 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01)
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
Designated validation state (EPC)
KH MA MD TN
DOCDB simple family (publication)
CN 115335920 A 20221111; EP 4100966 A1 20221214; EP 4100966 A4 20240221
DOCDB simple family (application)
CN 202180024170 A 20210205; EP 21751296 A 20210205