Image Processing Device, Image Processing Method, and Storage Medium

    公开(公告)号:US20240161294A1

    公开(公告)日:2024-05-16

    申请号:US18544883

    申请日:2023-12-19

    申请人: NEC Corporation

    IPC分类号: G06T7/00 G06V10/74

    摘要: 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.

    IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20240289959A1

    公开(公告)日:2024-08-29

    申请号:US18410361

    申请日:2024-01-11

    申请人: NEC Corporation

    发明人: Masahiro SAIKOU

    摘要: The image processing device 1X includes an acquisition means 30X, a detection means 31X, a first determination means 32X, and a second determination means 33X. The acquisition means 30X acquires an endoscopic image of an examination target. The detection means 31X detects, based on the endoscopic image, a lesion region which is a candidate lesion region of the examination target in the endoscopic image. The first determination means 32X determines whether or not the endoscopic image is an image adequate to determine a degree of progression or an invasion depth, based on a size of the lesion region and/or a degree of reliability regarding a probability of the lesion region as the lesion. The second determination means 33X determines the degree of progression or the invasion depth, based on the endoscopic image determined to be the image adequate to determine the degree of progression or the invasion depth.

    SURGERY ASSISTANCE APPARATUS, SURGERY ASSISTANCE METHOD, AND COMPUTER-READABLE RECORDING MEDIUM

    公开(公告)号:US20220133129A1

    公开(公告)日:2022-05-05

    申请号:US17430030

    申请日:2020-02-07

    申请人: NEC Corporation

    发明人: Masahiro SAIKOU

    摘要: A surgery assistance apparatus 1 that improves the accuracy of surgery by presenting stable assistance information (display/sound) to a surgeon includes a calculation unit 2 that calculates, based on a living-body internal image 21 captured using an endoscope 42, region information indicating the region of a target part image 22 corresponding to a target part and probability information indicating a probability of the target part image 22 being an image of the target part, and a generation unit 3 that generates assistance information for assisting surgery while suppressing an extreme change when one of or both a change in the region information and a change in the probability information are extreme.

    SURGERY ASSISTANCE APPARATUS, SURGERY ASSISTANCE METHOD, AND COMPUTER READABLE RECORDING MEDIUM

    公开(公告)号:US20210267544A1

    公开(公告)日:2021-09-02

    申请号:US17258296

    申请日:2018-07-09

    申请人: NEC Corporation

    发明人: Masahiro SAIKOU

    摘要: Provided are a surgery assistance apparatus, a surgery assistance method, and a computer readable recording medium that includes a surgery assistance program recorded thereon that improve the accuracy of endoscopic surgery by identifying a target part image. A surgery assistance apparatus 1 includes a feature amount calculation unit 2 that calculates, from a human-body internal image captured using an endoscope, a feature amount of a target part image corresponding to a target part, a similarity degree calculation unit 3 that calculates a similarity degree of the features amount between different human-body internal images, and an identification unit 4 that identifies the target part image in each of the different human-body internal images if the similarity degree is greater than or equal to a predetermined value.