公开(公告)号：US12217425B2

公开(公告)日：2025-02-04

申请号：US18584049

申请日：2024-02-22

Applicant: Lunit Inc.

Inventor： Hyo-Eun Kim ,  Hyeonseob Nam

IPC: G06T7/00 ,  G06N3/08 ,  G06V10/40 ,  G06V10/764

Abstract: A method for interpreting an input image by a computing device operated by at least one processor is provided. The method for interpreting an input image comprises storing an artificial intelligent (AI) model that is trained to classify a lesion detected in the input image as suspicious or non-suspicious and, under a condition of being suspicious, to classify the lesion detected in the input image as malignant or benign-hard representing that the lesion is suspicious but determined to be benign, receiving an analysis target image, by using the AI model, obtaining a classification class of a target lesion detected in the analysis target image and, when the classification class is the suspicious, obtaining at least one of a probability of being suspicious, a probability of being benign-hard, and a probability of malignant for the target lesion, and outputting an interpretation result including at least one probability obtained for the target lesion.

公开(公告)号：US11935237B2

公开(公告)日：2024-03-19

申请号：US18128492

申请日：2023-03-30

Applicant: Lunit Inc.

Inventor： Hyo-Eun Kim ,  Hyeonseob Nam

IPC: G06T7/00 ,  G06N3/08 ,  G06V10/40 ,  G06V10/764

CPC classification number: G06T7/0012 ,  G06N3/08 ,  G06V10/40 ,  G06V10/764 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A method for interpreting an input image by a computing device operated by at least one processor is provided. The method for interpreting an input image comprises storing an artificial intelligent (AI) model that is trained to classify a lesion detected in the input image as suspicious or non-suspicious and, under a condition of being suspicious, to classify the lesion detected in the input image as malignant or benign-hard representing that the lesion is suspicious but determined to be benign, receiving an analysis target image, by using the AI model, obtaining a classification class of a target lesion detected in the analysis target image and, when the classification class is the suspicious, obtaining at least one of a probability of being suspicious, a probability of being benign-hard, and a probability of malignant for the target lesion, and outputting an interpretation result including at least one probability obtained for the target lesion.

公开(公告)号：US20230252626A1

公开(公告)日：2023-08-10

申请号：US18128492

申请日：2023-03-30

Applicant: Lunit Inc.

Inventor： Hyo-Eun KIM ,  Hyeonseob Nam

IPC: G06T7/00 ,  G06N3/08 ,  G06V10/40 ,  G06V10/764

CPC classification number: G06T7/0012 ,  G06N3/08 ,  G06V10/40 ,  G06V10/764 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A method for interpreting an input image by a computing device operated by at least one processor is provided. The method for interpreting an input image comprises storing an artificial intelligent (AI) model that is trained to classify a lesion detected in the input image as suspicious or non-suspicious and, under a condition of being suspicious, to classify the lesion detected in the input image as malignant or benign-hard representing that the lesion is suspicious but determined to be benign, receiving an analysis target image, by using the AI model, obtaining a classification class of a target lesion detected in the analysis target image and, when the classification class is the suspicious, obtaining at least one of a probability of being suspicious, a probability of being benign-hard, and a probability of malignant for the target lesion, and outputting an interpretation result including at least one probability obtained for the target lesion.

公开(公告)号：US11663718B2

公开(公告)日：2023-05-30

申请号：US17721515

申请日：2022-04-15

Applicant: Lunit Inc.

Inventor： Hyo-Eun Kim ,  Hyeonseob Nam

IPC: G06T7/00 ,  G06N3/08 ,  G06V10/40 ,  G06V10/764

CPC classification number: G06T7/0012 ,  G06N3/08 ,  G06V10/40 ,  G06V10/764 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A method for interpreting an input image by a computing device operated by at least one processor is provided. The method for interpreting an input image comprises storing an artificial intelligent (AI) model that is trained to classify a lesion detected in the input image as suspicious or non-suspicious and, under a condition of being suspicious, to classify the lesion detected in the input image as malignant or benign-hard representing that the lesion is suspicious but determined to be benign, receiving an analysis target image, by using the AI model, obtaining a classification class of a target lesion detected in the analysis target image and, when the classification class is the suspicious, obtaining at least one of a probability of being suspicious, a probability of being benign-hard, and a probability of malignant for the target lesion, and outputting an interpretation result including at least one probability obtained for the target lesion.

公开(公告)号：US20220237793A1

公开(公告)日：2022-07-28

申请号：US17721515

申请日：2022-04-15

Applicant: Lunit Inc.

Inventor： Hyo-Eun KIM ,  Hyeonseob Nam

IPC: G06T7/00 ,  G06N3/08 ,  G06V10/40

Abstract: A method for interpreting an input image by a computing device operated by at least one processor is provided. The method for interpreting an input image comprises storing an artificial intelligent (AI) model that is trained to classify a lesion detected in the input image as suspicious or non-suspicious and, under a condition of being suspicious, to classify the lesion detected in the input image as malignant or benign-hard representing that the lesion is suspicious but determined to be benign, receiving an analysis target image, by using the AI model, obtaining a classification class of a target lesion detected in the analysis target image and, when the classification class is the suspicious, obtaining at least one of a probability of being suspicious, a probability of being benign-hard, and a probability of malignant for the target lesion, and outputting an interpretation result including at least one probability obtained for the target lesion.

公开(公告)号：US11334994B2

公开(公告)日：2022-05-17

申请号：US16874926

申请日：2020-05-15

Applicant: Lunit Inc.

Inventor： Hyo-Eun Kim ,  Hyeonseob Nam

IPC: G06K9/00 ,  G06T7/00 ,  G06N3/08 ,  G06V10/40

Abstract: A method for interpreting an input image by a computing device operated by at least one processor is provided. The method for interpreting an input image comprises storing an artificial intelligent (AI) model that is trained to classify a lesion detected in the input image as suspicious or non-suspicious and, under a condition of being suspicious, to classify the lesion detected in the input image as malignant or benign-hard representing that the lesion is suspicious but determined to be benign, receiving an analysis target image, by using the AI model, obtaining a classification class of a target lesion detected in the analysis target image and, when the classification class is the suspicious, obtaining at least one of a probability of being suspicious, a probability of being benign-hard, and a probability of malignant for the target lesion, and outputting an interpretation result including at least one probability obtained for the target lesion.