公开(公告)号：US20240127431A1

公开(公告)日：2024-04-18

申请号：US18273106

申请日：2022-03-30

Applicant: Lunit Inc.

Inventor： Sunggyun PARK ,  Kihwan MIM ,  Seungwook PAEK ,  Donggeun YOO

IPC: G06T7/00 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10116 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A computing apparatus operated by at least one processor includes a target artificial intelligence model configured to learn at least one task, and perform a task for an input medical image to output a target result, and a confidence prediction model configured to obtain at least one impact factor that affects the target result based on the input medical image, and estimate confidence information for the target result based on the impact factor.

公开(公告)号：US20220199258A1

公开(公告)日：2022-06-23

申请号：US17689196

申请日：2022-03-08

Applicant: Lunit Inc.

Inventor： Donggeun YOO ,  Seungwook PAEK ,  Minchul KIM ,  Jongchan PARK

IPC: G16H50/20 ,  G16H50/70 ,  G16H15/00

Abstract: A training method for specializing an artificial intelligence model in an institution for deployment and an apparatus for performing training the artificial intelligence model are provided. A method for operating a training apparatus operated by at least one processor includes extracting a dataset to be used for specialized training from data retained by a certain institution, selecting an annotation target for which annotation is required from the dataset by using a pre-trained artificial intelligence (AI) model, and performing supervised training of the pre-trained AI model by using data annotated with a label for the annotation target.