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公开(公告)号：US11676361B2
公开(公告)日：2023-06-13
申请号：US17144157
申请日：2021-01-08
申请人： FUJITSU LIMITED , RIKEN , NATIONAL CANCER CENTER
发明人： Akira Sakai , Masaaki Komatsu , Ai Dozen
CPC分类号： G06V10/30 , G06F18/214 , G06N3/04 , G06T5/50 , G06T7/0012 , G06T7/11 , G06T2207/10132
摘要： A method includes: acquiring data including moving image obtained by photographing a target and annotation images each indicative of a region of the target in each of frame images in the moving image; executing a process using the data. The process includes: detecting the target in the frame images; inputting, to an auto-encoder, an image obtained by combining partial images including the target and peripheral region images of the target detected in a given number of preceding and succeeding second frame images in a time series of the moving image of a first frame image; inputting a partial image corresponding to the first frame image to a neural network performing a segmentation; updating parameter of the auto-encoder and the neural network based on a difference between an image obtained by combining images from the auto-encoder and the neural network and a partial image of the annotation image.
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公开(公告)号：US11508064B2
公开(公告)日：2022-11-22
申请号：US17144162
申请日：2021-01-08
申请人： FUJITSU LIMITED , RIKEN , NATIONAL CANCER CENTER
发明人： Akira Sakai , Masaaki Komatsu , Ai Dozen
摘要： A method includes: acquiring a training data set including pieces of training data, each of the pieces including an image of a training target, first annotation data representing a rectangular region in the image, and second annotation data; training, based on the image and the first annotation data, an object detection model specifying a rectangular region including the training target; training, based on the image and the second annotation data, a neural network; and calculating a first index value related to a relationship of a pixel number, the trained estimation model and the calculated first index value being used in a determination process that determines, based on the calculated first index value and a second index value relationship between a pixel number in an output result and an estimation result, whether or not a target in a target image is normal.
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3.发明申请公开(公告)号：US20200060659A1
公开(公告)日：2020-02-27
申请号：US16544924
申请日：2019-08-20
发明人： Masaaki Komatsu , Hiroyuki Yoshida , Akira Sakai , Akihiko Sekizawa , Ryu Matsuoka , Ryuji Hamamoto
摘要： A non-transitory computer-readable recording medium stores therein an examination assisting program that causes a computer to execute a process including: performing a site detecting process that uses an object detection technique on each of a plurality of ultrasound examination images taken of an examined subject by performing a scan on the examined subject; and displaying a site detection map in which a detection result of each of a plurality of sites included in the examined subject is kept in correspondence with the scan, on a basis of detection results from the site detecting process.
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公开(公告)号：US11291431B2
公开(公告)日：2022-04-05
申请号：US16544924
申请日：2019-08-20
发明人： Masaaki Komatsu , Hiroyuki Yoshida , Akira Sakai , Akihiko Sekizawa , Ryu Matsuoka , Ryuji Hamamoto
摘要： A non-transitory computer-readable recording medium stores therein an examination assisting program that causes a computer to execute a process including: performing a site detecting process that uses an object detection technique on each of a plurality of ultrasound examination images taken of an examined subject by performing a scan on the examined subject; and displaying a site detection map in which a detection result of each of a plurality of sites included in the examined subject is kept in correspondence with the scan, on a basis of detection results from the site detecting process.
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公开(公告)号：US11869193B2
公开(公告)日：2024-01-09
申请号：US17144180
申请日：2021-01-08
申请人： FUJITSU LIMITED , RIKEN , NATIONAL CANCER CENTER
发明人： Akira Sakai , Masaaki Komatsu , Kanto Shozu
CPC分类号： G06T7/11 , G06N5/04 , G06N20/00 , G06T7/0012 , G06T2207/10132 , G06T2207/20081 , G06T2207/30008 , G06T2207/30044
摘要： A method includes: inputting an image of a target to each of a first model for estimating a region of an annular face of the target, a second model for estimating a region in an outer circumference of the annular face and a third model for estimating a region in an inner circumference of the annular face, and outputting a region image, as an estimated region of the annular face, the region image being obtained by synthesizing first, second, and third elements. The first element is a region outputted as a result of the first model for calculating a sum set in the synthesizing, the second element is a region outputted as a result of the second model for calculating a sum set in the synthesizing, and the third element is a region outputted as a result of the third model for calculating a difference set in the synthesizing.
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公开(公告)号：US11074681B2
公开(公告)日：2021-07-27
申请号：US16546304
申请日：2019-08-21
发明人： Masaaki Komatsu , Hiroyuki Yoshida , Akira Sakai , Akihiko Sekizawa , Ryu Matsuoka , Ryuji Hamamoto
摘要： A non-transitory computer-readable recording medium storing therein an anomalousness determination program that causes a computer to execute a process includes: sensing a region in an object in each of a plurality of ultrasound examination images using an object sensing technique; based on a result of the sensing and a structure of the object, acquiring a result of sensing each of a plurality of regions in the object in each of the ultrasound examination images; and determining anomalousness in the object based on the result of sensing each of the regions in the ultrasound examination images.
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7.发明申请公开(公告)号：US20200065954A1
公开(公告)日：2020-02-27
申请号：US16546304
申请日：2019-08-21
发明人： Masaaki Komatsu , Hiroyuki Yoshida , Akira Sakai , Akihiko Sekizawa , Ryu Matsuoka , Ryuji Hamamoto
摘要： A non-transitory computer-readable recording medium storing therein an anomalousness determination program that causes a computer to execute a process includes: sensing a region in an object in each of a plurality of ultrasound examination images using an object sensing technique; based on a result of the sensing and a structure of the object, acquiring a result of sensing each of a plurality of regions in the object in each of the ultrasound examination images; and determining anomalousness in the object based on the result of sensing each of the regions in the ultrasound examination images.
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