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公开(公告)号:US20200163550A1
公开(公告)日:2020-05-28
申请号:US16275773
申请日:2019-02-14
Applicant: Canon Medical Systems Corporation
Inventor: Takuma IGARASHI , Qiqi XU , Fanjie MENG
Abstract: A medical image diagnosis apparatus according to an embodiment includes an imager, a storage, and processing circuitry. The storage stores therein a correspondence relationship between each of disease patterns and scans used for performing a differential diagnosis process on the disease pattern. The processing circuitry obtains, based on image data acquired by a first scan, a disease pattern having a possibility of being applicable to the subject and a first index value indicating a degree of applicability of the disease pattern. The processing circuitry outputs information indicating the disease pattern to a display when it is possible to perform the differential diagnosis process based on the first index value and outputs an imaging condition used for performing a second scan based on the correspondence relationship and the disease pattern having the possibility when it is not possible to perform the differential diagnosis process based on the first index value.
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公开(公告)号:US20240044803A1
公开(公告)日:2024-02-08
申请号:US18361335
申请日:2023-07-28
Applicant: CANON MEDICAL SYSTEMS CORPORATION , Nanjing University
Inventor: Hao HUANG , Qiqi XU , Xiaotian WU , Huangxian JU , Jie WU
IPC: G01N21/66 , G01N21/76 , G01N33/543
CPC classification number: G01N21/66 , G01N21/76 , G01N33/5438
Abstract: A manufacturing method for an ECL (Electrochemiluminescence)-based electrode according to an embodiment includes a step of mixing an electrocatalytic solution and metal nanoparticles and thereafter dropping a mixed particle suspension onto the surface of an electrode and obtaining a base electrode co-modified by an electrocatalyst-metal nanoparticle.
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3.
公开(公告)号:US20240347175A1
公开(公告)日:2024-10-17
申请号:US18633744
申请日:2024-04-12
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor: Fuyue WANG , Bing HAN , Qiqi XU
IPC: G16H30/40 , G06V10/26 , G06V10/72 , G06V10/774 , G06V10/82
CPC classification number: G16H30/40 , G06V10/26 , G06V10/72 , G06V10/7753 , G06V10/82
Abstract: A medical image processing method according to an embodiment of the present disclosure includes: training a deep neural network by using labeled image data; obtaining a first augmented image by carrying out a weak data augmentation on unlabeled image data; performing a predicting process on the first augmented image by using the deep neural network and determining whether each of the pixels in the first augmented image is able to serve as a pseudo-label on the basis of prediction information of the pixel; obtaining a second augmented image by carrying out a strong data augmentation on the first augmented image; training the deep neural network by using the second augmented image and the pseudo-labels; and updating the deep neural network on the basis of training results of the labeled image data and the unlabeled image data and processing a medical image by using the updated deep neural network.
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公开(公告)号:US20230384300A1
公开(公告)日:2023-11-30
申请号:US18325445
申请日:2023-05-30
Applicant: CANON MEDICAL SYSTEMS CORPORATION , Nanjing University
Inventor: Hao HUANG , Qiqi XU , Xiaotian WU , Huangxian JU , Jie WU
IPC: G01N33/543 , B82Y15/00 , G01N33/58
CPC classification number: G01N33/54326 , G01N33/582 , B82Y15/00
Abstract: A method for preparing an electrochemiluminescent nanoprobe according to an embodiment includes: adding a metal complex ion to an inorganic oxide nanoparticle to provide a metal-doped inorganic oxide nanoparticle; and binding a secondary antibody to the metal-doped inorganic oxide nanoparticle to provide a metal-doped inorganic oxide nanoparticle modified with the secondary antibody. The secondary antibody is configured to identify a specific antibody against nucleic acid-specific site modification.
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5.
公开(公告)号:US20200167912A1
公开(公告)日:2020-05-28
申请号:US16600693
申请日:2019-10-14
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor: Qiqi XU , Fanjie MENG , Hitoshi YAMAGATA
Abstract: A medical image diagnostic apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain image data which is generated by scanning a brain of a subject; select a target region from the image data; extract a connected region of which a brain function is associated with a brain function of the target region, as an additional region; and output scan target region including the target region and the additional region.
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公开(公告)号:US20250003917A1
公开(公告)日:2025-01-02
申请号:US18738839
申请日:2024-06-10
Applicant: CANON MEDICAL SYSTEMS CORPORATION , Nanjing University
Inventor: Xiaotian WU , Qiqi XU , Hao HUANG , Huangxian JU , Jie WU
IPC: G01N27/30 , C12Q1/6825 , C12Q1/70 , G01N27/327
Abstract: A method for producing an electrochemiluminescence nanoprobe according to an embodiment includes: a Pdots nanoparticle synthesis step of synthesizing a Pdots nanoparticle by polymerizing a conjugated polymer and a copolymer molecule; and a Pdots nanoparticle modification step of modifying a resulting Pdots nanoparticle using an oligonucleotide chain modified with a quencher molecule.
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公开(公告)号:US20240425751A1
公开(公告)日:2024-12-26
申请号:US18738909
申请日:2024-06-10
Applicant: CANON MEDICAL SYSTEMS CORPORATION , Nanjing University
Inventor: Xiaotian WU , Qiqi XU , Hao HUANG , Chao WANG , Huangxian JU , Jie WU
Abstract: A method for producing an electrochemiluminescence nanoprobe according to an embodiment includes: a hot exciton nanoparticle synthesis step of polymerizing a hot exciton organic luminescent molecule and a copolymer molecule to synthesize hot exciton nanoparticles; and a hot exciton nanoparticle modification step of modifying the obtained hot exciton nanoparticles with an oligonucleotide chain modified with a quencher molecule to obtain modified hot exciton nanoparticles.
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公开(公告)号:US20220127685A1
公开(公告)日:2022-04-28
申请号:US17506804
申请日:2021-10-21
Applicant: CANON MEDICAL SYSTEMS CORPORATION
IPC: C12Q1/70 , C12Q1/6823 , C12Q1/6848 , B01L7/00 , B01L3/00
Abstract: A nucleic acid detection system according to an embodiment is a nucleic acid detection system to detect a target nucleic acid in a sample and includes a thermal inactivation chamber, an amplification chamber, and a detection chamber, all of which constitute a liquid flow path. In this system, liquid flows through the thermal inactivation chamber, the amplification chamber, and the detection chamber sequentially. The thermal inactivation chamber includes a reagent to thermally inactivate and decompose the sample. The amplification chamber includes a reagent to amplify the target nucleic acid. The detection chamber includes a test strip to conduct a Cas enzyme reaction with the target nucleic acid and a lateral flow detection.
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公开(公告)号:US20240327934A1
公开(公告)日:2024-10-03
申请号:US18621634
申请日:2024-03-29
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor: Xiaotian WU , Hao HUANG , Qiqi XU
IPC: C12Q1/70 , B01L3/00 , C12Q1/6844
CPC classification number: C12Q1/701 , B01L3/5023 , C12Q1/6844 , B01L2300/069 , B01L2300/0825 , B01L2300/161
Abstract: The analysis device according to an embodiment includes a partition region including a water-soluble partition material capable of individually partitioning between reaction regions different from each other in the device.
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10.
公开(公告)号:US20230394791A1
公开(公告)日:2023-12-07
申请号:US18329832
申请日:2023-06-06
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor: Sha WANG , Bing HAN , Fanjie MENG , Qiqi XU , Ye YUE
IPC: G06V10/764 , G06T7/11 , G06V10/25
CPC classification number: G06V10/764 , G06T7/11 , G06V10/25
Abstract: An image processing method according to an embodiment includes a specifying step, an inference step, and an integration step. In the specifying step, a first portion including a region corresponding to an anatomical site of a target and a second portion including a region different from the anatomical site are specified in the image. In the inference step, by using a deep learning model, segmentation of the region corresponding to the anatomical site is performed on the first portion and segmentation of the region different from the anatomical site is performed on the second portion, or classification and detection of an image including the region corresponding to the anatomical site is performed on the first portion and classification and detection of an image including the region different from the anatomical site is performed on the second portion. In the integration step, results of the respective processes are integrated for output.
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