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公开(公告)号：US20240135539A1
公开(公告)日：2024-04-25
申请号：US18544886
申请日：2023-12-19
Applicant: NEC Corporation
Inventor： Kazuhiro WATANABE , Yuji IWADATE , Masahiro SAIKOU , Akinori EBIHARA , Taiki MIYAGAWA
CPC classification number: G06T7/0012 , G06V10/761 , G06T2207/10068 , G06T2207/20084 , G06T2207/30096
Abstract: The image processing device 1X includes an acquisition means 30X and a lesion detection means 34X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The lesion detection means 34X detects a lesion based on a selection model which is selected from a first model and a second model, the first model being configured to make an inference regarding a lesion of the examination target based on a predetermined number of endoscopic images, the second model being configured to make an inference regarding a lesion of the examination target based on a variable number of endoscopic images. Besides, the lesion detection means 34X changes a parameter to be used for detection of the lesion based on a non-selection model that is the first model or the second model other than the selection model.
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公开(公告)号：US20240127442A1
公开(公告)日：2024-04-18
申请号：US18544757
申请日：2023-12-19
Applicant: NEC Corporation
Inventor： Kazuhiro WATANABE , Yuji IWADATE , Masahiro SAIKOU , Akinori EBIHARA , Taiki MIYAGAWA
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T2207/10068 , G06T2207/20084 , G06T2207/30096
Abstract: The image processing device 1X includes an acquisition means 30X, a variation detection means 311X, a selection means 312X, and a lesion detection means 34X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The variation detection means 311X detects a degree of variation between the endoscopic images. The selection means 312X selects either one of a first model or a second model based on the degree of variation, the first model making an inference regarding a lesion of the examination target based on a predetermined number of the endoscopic images, the second model making an inference regarding the lesion based on a variable number of the endoscopic images. The lesion detection means 34X detects the lesion based on a selection model that is either the first model or the second model selected.
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公开(公告)号：US20240348757A1
公开(公告)日：2024-10-17
申请号：US18294210
申请日：2021-08-19
Applicant: NEC Corporation
Inventor： Kazuhiro WATANABE , Rui ISHIYAMA
IPC: H04N9/31
CPC classification number: H04N9/3185 , H04N9/3194
Abstract: An imaging guide device includes a computation means for computing a plane projection transformation matrix of a first image obtained by capturing a flat surface of an object with a first imaging device and a second image obtained by capturing the flat surface with a second imaging device; an acquisition means for acquiring a second figure obtained by transforming a first figure on the basis of the plane projection transformation matrix, the first figure being virtually drawn on the first image in a predetermined direction and a predetermined shape; a generation means for generating a tilt index representing a tilt in an imaging direction of the second imaging device with respect to the first imaging device on the basis of the second figure, and generating a display item including the tilt index; and a display control means for displaying the display item in a superimposed manner on the second image.
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公开(公告)号：US20240161294A1
公开(公告)日：2024-05-16
申请号：US18544883
申请日：2023-12-19
Applicant: NEC Corporation
Inventor： Kazuhiro WATANABE , Yuji IWADATE , Masahiro SAIKOU , Akinori EBIHARA , Taiki MIYAGAWA
CPC classification number: G06T7/0012 , G06V10/761 , G06T2207/10068 , G06T2207/20084 , G06T2207/30096
Abstract: The image processing device 1X includes an acquisition means 30X, a variation detection means 311X, a selection means 312X, and a lesion detection means 34X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The variation detection means 311X detects a degree of variation between the endoscopic images. The selection means 312X selects either one of a first model or a second model based on the degree of variation, the first model making an inference regarding a lesion of the examination target based on a predetermined number of the endoscopic images, the second model making an inference regarding the lesion based on a variable number of the endoscopic images. The lesion detection means 34X detects the lesion based on a selection model that is either the first model or the second model selected.
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Patent Agency Ranking
公开(公告)号：US20240203086A1
公开(公告)日：2024-06-20
申请号：US18287543
申请日：2021-04-23
Applicant: NEC Corporation
Inventor： Kazuhiro WATANABE , Mashiro SAIKOU , Akinori EBIHARA , Taiki MIYAGAWA
IPC: G06V10/25 , G06T7/00 , G06V10/764
CPC classification number: G06V10/25 , G06T7/0012 , G06V10/764 , G06T2207/10068 , G06T2207/30096 , G06V2201/03
Abstract: An image processing device 1X includes an acquisition means 30X, a score calculation means 31X, and a classification means 34X. The acquisition means 30X acquires each captured image which captures an examination target by an imaging unit provided on an endoscope. The score calculation means 31X calculates a score concerning a likelihood of an existence of a point of interest in captured images based on a plurality of captured images which are in a time series. The classification means 34X classifies the plurality of captured images based on the score.
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公开(公告)号：US20250157028A1
公开(公告)日：2025-05-15
申请号：US18839459
申请日：2022-02-28
Applicant: NEC Corporation
Inventor： Kazuhiro WATANABE , Masahiro SAIKOU , Yuji IWADATE
IPC: G06T7/00 , G06V10/25 , G06V10/764 , G16H50/20
Abstract: The image processing device 1X includes an acquisition means 30X, a score calculation means 31X, and a classification means 32X. The acquisition means 30X acquires a captured image obtained by photographing an examination target by a photographing unit provided in an endoscope. The score calculation means 31X calculates, based on the captured images in time series obtained from a start time, a score regarding a likelihood of a presence of a region of interest in the captured images. Here, upon detecting a variation in the captured images, the score calculation means 31X sets a time after the variation as the start time. The classification means 32X classifies, based on the score, the captured images in time series if a predetermined condition is satisfied.
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公开(公告)号：US20250078259A1
公开(公告)日：2025-03-06
申请号：US18561130
申请日：2023-08-18
Applicant: NEC Corporation
Inventor： Kazuhiro WATANABE , Yuji IWADATE , Masahiro SAIKOU , Akinori EBIHARA , Taiki MIYAGAWA
Abstract: The image processing device 1X includes an acquisition means 30X and a lesion detection means 34X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The lesion detection means 34X detects a lesion based on a selection model which is selected from a first model and a second model, the first model being configured to make an inference regarding a lesion of the examination target based on a predetermined number of endoscopic images, the second model being configured to make an inference regarding a lesion of the examination target based on a variable number of endoscopic images. Besides, the lesion detection means 34X changes a parameter to be used for detection of the lesion based on a non-selection model that is the first model or the second model other than the selection model.
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公开(公告)号：US20240265536A1
公开(公告)日：2024-08-08
申请号：US18567102
申请日：2021-06-09
Applicant: NEC Corporation
Inventor： Kazuhiro WATANABE , Akinori Ebihara , Taiki Miyagawa
IPC: G06T7/00 , G06V10/764 , G16H30/40 , G16H50/20
CPC classification number: G06T7/0012 , G06V10/764 , G16H30/40 , G16H50/20 , G06T2207/30096
Abstract: According to one example embodiment, an information processing apparatus includes: an acquisition unit configured to sequentially acquire a plurality of elements included in sequential data; a first calculation unit configured to calculate, based on two or more of the plurality of elements, an indicator indicating which one of a plurality of classes each of the plurality of elements should belong to; a second calculation unit configured to calculate weights showing importance of the respective indicators of the plurality of respective elements; a third calculation unit configured to weight the indicators of the plurality of respective elements by the corresponding weights and integrate the weighted indicators to calculate an integrated indicator indicating which one of the plurality of classes the sequential data should belong to; and a classification unit configured to classify the sequential data into one of the classes based on the integrated indicator.
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公开(公告)号：US20240127443A1
公开(公告)日：2024-04-18
申请号：US18544857
申请日：2023-12-19
Applicant: NEC Corporation
Inventor： Kazuhiro WATANABE , Yuji Iwadate , Masahiro Saikou , Akinori Ebihara , Taiki Miyagawa
CPC classification number: G06T7/0012 , A61B1/000094 , A61B1/000096 , A61B1/0005 , G06T11/203 , G06T11/206 , G16H50/50 , A61B1/000095 , G06T2207/10068 , G06T2207/20084 , G06T2207/30096 , G06T2210/41
Abstract: The image processing device 1X includes an acquisition means 30X and a lesion detection means 34X. The acquisition means 30X acquires an endoscopic image obtained by photographing an examination target by a photographing unit provided in an endoscope. The lesion detection means 34X detects a lesion based on a selection model which is selected from a first model and a second model, the first model being configured to make an inference regarding a lesion of the examination target based on a predetermined number of endoscopic images, the second model being configured to make an inference regarding a lesion of the examination target based on a variable number of endoscopic images. Besides, the lesion detection means 34X changes a parameter to be used for detection of the lesion based on a non-selection model that is the first model or the second model other than the selection model.
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