Lunit Inc.

Soo Ick Cho

Dong Geun Yoo

Jeong Seok Kang

Won Kyung Jung

Kyunghyun Paeng

Chan-Young Ock

Biagio Brattoli

A computing device includes at least one memory, and at least one processor configured to generate, based on first analysis on a pathological slide image, first biomarker expression information, generate, based on a user input for updating at least some of results of the first analysis, second biomarker expression information about the pathological slide image, and control a display device to output a report including medical information about at least some regions included in the pathological slide image, based on at least one of the first biomarker expression information or the second biomarker expression information.

Method and device for processing pathological slide image

Provided is a method for analysing a pathology image, which is performed by at least one processor and includes acquiring a pathology image, inputting the acquired pathology image into a machine learning model and acquiring an analysis result for the pathology image from the machine learning model, and outputting the acquired analysis result, in which the machine learning model is a model trained by using a training data set generated based on a first pathology data set associated with a first domain and a second pathology data set associated with a second domain different from the first domain.

Method and system for analyzing pathology image

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Seoul, South Korea

Soo Ick Cho