Samsung Life Public Welfare Foundation

Pyoung Jeon

Sang Hun Kim

Oh Young Bang

Sung Ryong Kim

Woo-Keun Seo

Geon Ha Kim

Won Hong Cho

Gyeong-Moon Kim

Yoon-Chul Kim

Jong-Won Chung

According to an embodiment of the present disclosure, there is provided a method of predicting a brain tissue lesion distribution, the method including: a model learning operation of learning a prediction model for predicting a brain tissue lesion distribution of a subject by using brain image data of a plurality of previous patients; an input obtaining operation of obtaining input data from brain image data of the subject; and an output operation of generating output image data including information on the lesion distribution after recanalization treatment for the subject, by using the prediction model. The prediction model includes a success prediction model that is learned by using data of patients in which recanalization treatment is successful among the plurality of previous patients, and a failure prediction model that is learned by using data of patients in which recanalization treatment fails among the plurality of previous patients.

Method, device, and computer program for predicting brain tissue lesion distribution

Provided is a radiation shielding device according to various embodiments. The radiation shielding device includes: a body structure forming a receiving space receiving a user's body part, wherein a through passage penetrating an inside of the body structure is formed in the body structure; a shielding unit positioned to reciprocatively move along the through passage, wherein a shielding pad configured to shield the radiation is included in a portion of the shielding unit; and a driver configured to transfer a driving force to the shielding unit to cause the shielding unit to reciprocatively move.

Radiation shielding device

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Seoul, South Korea

Pyoung Jeon