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公开(公告)号：US20210241452A1
公开(公告)日：2021-08-05
申请号：US17144162
申请日：2021-01-08
Applicant: FUJITSU LIMITED , RIKEN , NATIONAL CANCER CENTER
Inventor： Akira SAKAI , Masaaki KOMATSU , Ai DOZEN
Abstract: 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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公开(公告)号：US20230229967A1
公开(公告)日：2023-07-20
申请号：US18124630
申请日：2023-03-22
Applicant: FUJITSU LIMITED
Inventor： Arseny TOLMACHEV , Akira SAKAI , Masaru TODORIKI
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A machine learning process including identifying a first axis including elements represented by one-hot vectors and a second axis including elements not represented by one-hot vectors, among a plurality of axes included in tensor-form data, when calculating a core tensor from the tensor-form data via a plurality of intermediate tensors, calculating the core tensor from the tensor-form data by a first process of concatenating elements included in a first element matrix corresponding to the first axis to elements included in a first intermediate tensor among the plurality of intermediate tensors and a second process of calculating a mode product between a second intermediate tensor among the plurality of intermediate tensors and a second element matrix corresponding to the second axis, and performing machine learning of a machine learning model with the core tensor as an input.
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Patent Agency Ranking
公开(公告)号：US20220398727A1
公开(公告)日：2022-12-15
申请号：US17826158
申请日：2022-05-27
Applicant: FUJITSU LIMITED , RIKEN , National University Corporation Tokyo Medical and Dental University , NATIONAL CANCER CENTER
Inventor： Akira SAKAI , Masaaki KOMATSU , Tetsuo SASANO , Hideki ARIMA , Ryuji HAMAMOTO
IPC: G06T7/00
Abstract: A non-transitory computer-readable recording medium has stored therein an evaluating program for causing a computer to execute a process including: specifying a wall of an inspection target in two or more moving images being obtained by photographing two types of cross sections of the inspection target, the two types of cross sections being orthogonal to each other; evaluating photographing quality of each of a plurality of first divisional regions obtained by dividing a region corresponding to the wall specified in a first image related to a first cross section among the two or more moving images; and evaluating photographing quality of each of a plurality of second divisional regions obtained by dividing a region corresponding to the wall specified in a second image related to a second cross section among the two or more moving images, the second cross section being different from the first cross section.
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公开(公告)号：US20210241461A1
公开(公告)日：2021-08-05
申请号：US17144180
申请日：2021-01-08
Applicant: FUJITSU LIMITED , RIKEN , NATIONAL CANCER CENTER
Inventor： Akira SAKAI , Masaaki KOMATSU , Kanto SHOZU
Abstract: 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：US20210241460A1
公开(公告)日：2021-08-05
申请号：US17144157
申请日：2021-01-08
Applicant: FUJITSU LIMITED , RIKEN , NATIONAL CANCER CENTER
Inventor： Akira SAKAI , Masaaki KOMATSU , Ai DOZEN
Abstract: 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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6.发明公开公开(公告)号：US20230281845A1
公开(公告)日：2023-09-07
申请号：US18060338
申请日：2022-11-30
Applicant: Fujitsu Limited
Inventor： Suguru YASUTOMI , Akira SAKAI , Takashi KATOH , Kento UEMURA
CPC classification number: G06T7/507 , G06T5/50 , G06T7/60 , G06V10/758 , G06T2207/10132 , G06T2207/20221
Abstract: An information processing device acquires output image data that is acquired by inputting image data indicating a pseudo-shadow area to an auto-encoder that is generated by machine learning using label image data contained in training data, the label image data indicating a shadow area in ultrasound image data of a captured target. The information processing device generates augmented data corresponding to the training data by combining the acquired output image data with the ultrasound image data.
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公开(公告)号：US20220398728A1
公开(公告)日：2022-12-15
申请号：US17826159
申请日：2022-05-27
Applicant: FUJITSU LIMITED , RIKEN , NATIONAL CANCER CENTER
Inventor： Akira SAKAI , Masaaki KOMATSU , Kanto SHOZU
Abstract: There is disclosed a non-transitory computer-readable recording medium having stored therein an information processing program for causing a computer to execute a process. The process includes: specifying a first region, a second region and a third region from a nondestructive inspection image, the first region corresponding to a recess-free shape, the second region corresponding to a detection target included in the recess-free shape, the third region corresponding to a reference object included in the recess-free shape; specifying a first straight line that divides the first region into two and that passes through the third region; obtaining two intersections of the first straight line and an outer circumference of the recess-free shape; specifying a second straight line that passes through a center point of the two intersections and that is orthogonal to the first straight line; and outputting information indicative of a position of the detection target in the nondestructive inspection image, using a coordinate system using the first straight line and the second straight line as axes.
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