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公开(公告)号:US20250095145A1
公开(公告)日:2025-03-20
申请号:US18559635
申请日:2023-01-11
Applicant: NEC CORPORATION
Inventor: Kenichi KAMIJO , Yuji IWADATE , Takuma IGARASHI
Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic image taken by an endoscope. The first lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a normal state of a large intestine. The second lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a predetermined state of the large intestine. The output means outputs at least one of a detection result of the first lesion detection means and a detection result of the second lesion detection means.
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公开(公告)号:US20250078348A1
公开(公告)日:2025-03-06
申请号:US18288700
申请日:2022-12-05
Applicant: NEC Corporation
Inventor: Naoto MAEDA , Takuma IGARASHI , Masahiro SAIKOU , Kimiyasu TAKOH , Yuko MAEKAWA
Abstract: In the endoscopic examination support apparatus, the video acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map which represents a lesion possibility of the lesion candidate included in the endoscopic video by a color. The display control means superimposes and displays an area where the lesion possibility is equal to or higher than a first threshold on the endoscopic video in a first display mode, and superimposes and displays an area where the lesion possibility is equal to or higher than a second threshold on the endoscopic video in a second display mode.
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公开(公告)号:US20240233121A1
公开(公告)日:2024-07-11
申请号:US18538078
申请日:2023-12-13
Applicant: NEC Corporation
Inventor: Kenichi KAMIJO , Yuji IWADATE , Takuma IGARASHI
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T2207/10016 , G06T2207/10068 , G06T2207/20081 , G06T2207/30092 , G06T2207/30096
Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic image taken by an endoscope. The first lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a normal state of a large intestine. The second lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a predetermined state of the large intestine. The output means outputs at least one of a detection result of the first lesion detection means and a detection result of the second lesion detection means.
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4.
公开(公告)号:US20240225416A1
公开(公告)日:2024-07-11
申请号:US18531859
申请日:2023-12-07
Applicant: NEC CORPORATION
Inventor: Kenichi KAMIJO , Yuji IWADATE , Takuma IGARASHI
IPC: A61B1/00
CPC classification number: A61B1/000094 , A61B1/000096
Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic image taken by an endoscope. The first lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a normal state of a large intestine. The second lesion detection means detects a lesion candidate from the endoscopic image, using a machine learning model that learned a relationship between the lesion candidate and a predetermined state of the large intestine. The output means outputs at least one of a detection result of the first lesion detection means and a detection result of the second lesion detection means.
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5.
公开(公告)号:US20240090741A1
公开(公告)日:2024-03-21
申请号:US18525167
申请日:2023-11-30
Applicant: NEC Corporation
Inventor: Tatsu KIMURA , Takuma IGARASHI
CPC classification number: A61B1/000094 , A61B1/000096 , A61B1/0005 , G06T7/0012 , G06T11/001 , G06T11/206 , G16H40/63 , G06T2207/10016 , G06T2207/30096
Abstract: In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map indicating a possibility of lesion of the lesion candidate in the endoscopic video by a color. The display control means displays a position of a lesion on a frame of the endoscopic video based on the lesion candidate and the heat map.
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