Vuno, Inc.

Seoul National University

Weon Jin Kim

Dong Soo Lee

Sejin Park

Hyunwoo Oh

Jinkyeong Sung

Eunpyeong Hong

Ki Woong Kim

Subin Lee

Jong Bin Bae

Jun Sung Kim

Wonmo Jung

According to an embodiment of the present disclosure, a method of detecting a white matter lesion based on a medical image performed by a computing device is disclosed. The method may include: receiving a medical image including at least one brain region; and estimating a first white matter lesion and a second white matter lesion based on the medical image using a pre-trained neural network model.

Method for detecting white matter lesions based on medical image

Disclosed is a method for predicting disease based on a medical image performed by a computing device. The method includes: generating a feature vector related to predictive values of brain disease for each of 2D medical images included in a 3D medical image, using a pre-trained first model; estimating importance indicating prediction accuracy for each of the 2D medical images based on the feature vector, using a pre-trained second model; and selecting at least one model input image suitable for prediction of the brain disease from among the 2D medical images based on the importance.

Method for predicting disease based on medical image

Disclosed is a method for analyzing a thickness of a cortical region, performed by a computing device. The method may include: extracting a plurality of interfaces included in a cortical region based on a mask generated from a medical image including at least one brain region; and estimating a thickness of the cortical region based on the plurality of interfaces.

Estimating a thickness of cortical region by extracting a plurality of interfaces as mesh data

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Seoul, South Korea

Weon Jin Kim