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公开(公告)号：US20240354940A1
公开(公告)日：2024-10-24
申请号：US18627691
申请日：2024-04-05
发明人： Karl Vilhelm Sjöstrand , Jens Filip Andreas Richter , Johan Martin Brynolfsson , Hannicka Maria Eleonora Sahlstedt
IPC分类号： G06T7/00 , G06F3/04842 , G06V10/25 , G06V10/40 , G06V10/70
CPC分类号： G06T7/0012 , G06F3/04842 , G06V10/25 , G06V10/40 , G06V10/70 , G06T2207/30096
摘要： Presented herein are systems, methods, and architectures related to the identification and presentation of hotspots (e.g., cancerous regions (e.g., metastatic) and/or regions suspected of being cancerous, e.g., 3D regions) in medical images. In certain embodiments, a slider and/or other graphical user interface widget is provided to allow intuitive, interactive adjustment by a user for inclusion and/or exclusion of hotspots (e.g., thresholds or other criteria for selection of a hotspot or other ROI are adjusted by the user by manipulation of the slider or other GUI widget).
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公开(公告)号：US12124539B2
公开(公告)日：2024-10-22
申请号：US18213641
申请日：2023-06-23
申请人： Adobe Inc.
发明人： Arshiya Aggarwal , Sanjeev Tagra , Sachin Soni , Ryan Rozich , Prasenjit Mondal , Jonathan Roeder , Ajay Jain
IPC分类号： G06F18/22 , G06F18/2113 , G06N5/04 , G06T5/50 , G06V10/40
CPC分类号： G06F18/22 , G06F18/2113 , G06N5/04 , G06T5/50 , G06V10/40 , G06T2207/20081 , G06T2207/20084
摘要： An image differentiation system receives input feature vectors for multiple input images and reference feature vectors for multiple reference images. In some cases, the feature vectors are extracted by an image feature extraction module trained based on training image triplets. A differentiability scoring module determines a differentiability score for each input image based on a distance between the input feature vectors and the reference feature vectors. The distance for each reference feature vector is modified by a weighting factor based on interaction metrics associated with the corresponding reference image. In some cases, an input image is identified as a differentiated image based on the corresponding differentiability score. Additionally or alternatively, an image modification module determines an image modification that increases the differentiability score of the input image. The image modification module generates a recommended image by applying the image modification to the input image.
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公开(公告)号：US12118776B2
公开(公告)日：2024-10-15
申请号：US18511639
申请日：2023-11-16
发明人： Shunming Qiu , Xiaobin Guo , Gang Li , Gen Li , Shupeng Zhang
CPC分类号： G06V10/993 , G06V10/10 , G06V10/40 , G06V10/74
摘要： The present disclosure provides an image processing method, apparatus, and device, and a storage medium. The method includes determining, in response to receiving a preset identification operation triggered for a capturing frame on a capturing page, a target image having image clarity meeting a preset clarity condition based on the capturing frame on the capturing page. Then, the target image is transmitted to an image identification server for image identifying. Thus, the image processing method provided in the embodiments of the present disclosure can determine a target image having image clarity meeting a preset clarity condition first before image identification and allow an image identification server to perform identification based on the target image which meets the preset clarity condition, thereby the accuracy of image identification can be improved.
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公开(公告)号：US12118770B2
公开(公告)日：2024-10-15
申请号：US17657118
申请日：2022-03-29
发明人： Shengyu Wei , Yuning Du , Xueying Lyu , Ying Zhou , Qiao Zhao , Qiwen Liu , Ran Bi , Xiaoguang Hu , Dianhai Yu , Yanjun Ma
IPC分类号： G06V10/00 , G06V10/40 , G06V10/74 , G06V10/764
CPC分类号： G06V10/764 , G06V10/40 , G06V10/761
摘要： The present disclosure provides an image recognition method and apparatus, an electronic device and a readable storage medium, and relates to the field of artificial intelligence technologies, such as image processing and deep learning technologies. The image recognition method includes: acquiring a to-be-recognized image, and determining a to-be-recognized subject in the to-be-recognized image; extracting a subject feature of the to-be-recognized subject, and obtaining a target feature according to the subject feature; determining a target candidate feature in a plurality of candidate features using the target feature; and taking a class corresponding to the target candidate feature as a recognition result of the to-be-recognized subject. With the present disclosure, different image recognition requirements may be met, and a speed and accuracy of image recognition may be improved.
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公开(公告)号：US20240338821A1
公开(公告)日：2024-10-10
申请号：US18682642
申请日：2022-08-10
发明人： Xiaowei Hong , Yishuang Meng , Jing Ping Xu
CPC分类号： G06T7/0012 , A61B5/055 , A61B5/7264 , A61B8/08 , G06V10/40 , G06V10/764 , G06V20/50 , G06T2207/10088 , G06T2207/10132 , G06T2207/20101 , G06T2207/30004 , G06V10/945
摘要： According to an aspect, there is provided an apparatus for use in processing image data relating to a subject, the apparatus comprising a memory comprising instruction data representing a set of instructions; and a processor configured to communicate with the memory and to execute the set of instructions, wherein the set of instructions, when executed by the processor, cause the processor to: responsive to receiving input indicating a point in an image corresponding to an anatomical feature or sub-feature, determine if sufficient points to perform a measurement have been received based on a comparison of anatomical features and/or sub-features corresponding to the indicated point and any other indicated points with prestored anatomical data, the pre-stored anatomical data indicating for at least one measurement the anatomical features and/or sub-features required to perform the at least one measurement; and if sufficient points to perform a measurement have been received, perform the measurement.
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公开(公告)号：US12112500B2
公开(公告)日：2024-10-08
申请号：US17468948
申请日：2021-09-08
发明人： Kwang Hoon Sohn , Sung Hun Joung
CPC分类号： G06T7/73 , G06F18/28 , G06V10/40 , G06T2207/20084
摘要： The present disclosure provides an apparatus for cylindrical convolutional neural network operation, and an apparatus and method for object recognition and viewpoint estimation using the same. The present disclosure uses a cylindrical convolutional network to recognize objects in the image and to determine the viewpoint, which cylindrical convolutional network performs a convolution operation while sliding the input image in the direction of rotation of the cylindrical kernel and extracts a plurality of view-specific feature vectors according to angular unit intervals, to identify and recognize objects, as well as to determine the viewpoint from which the objects were photographed.
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公开(公告)号：US12106510B2
公开(公告)日：2024-10-01
申请号：US17190674
申请日：2021-03-03
发明人： Parmeet Bhatia , Yimo Guo , Gerardo Hermosillo Valadez , Zhigang Peng , Yu Zhao
IPC分类号： G06T7/00 , A61B90/00 , G06T3/60 , G06T7/70 , G06T7/73 , G06V10/22 , G06V10/40 , G06V10/82 , G06V30/24
CPC分类号： G06T7/73 , A61B90/36 , G06T3/60 , G06T7/0012 , G06T7/70 , G06V10/22 , G06V10/40 , G06V10/82 , G06V30/2504 , A61B2090/363 , G06T2207/30004
摘要： Disclosed is a computer-implemented method for detecting one or more anatomic landmarks in medical image data. In an embodiment, the method includes receiving a medical image data set depicting a body part of a patient; and determining a first set of anatomic landmarks from a first representation of the medical image data set at a first resolution by applying a first trained function to the first representation of the medical image data set. Based on that, a second set of anatomic landmarks is determined from a second representation of the medical image data set at a second resolution, the second resolution being higher than the first resolution, by applying a second trained function different than the first trained function to the second representation of the medical image data set and using the first set of landmarks by the second trained function.
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公开(公告)号：US20240320969A1
公开(公告)日：2024-09-26
申请号：US18423286
申请日：2024-01-25
CPC分类号： G06V20/176 , G06Q50/08 , G06V10/40 , G06V10/82 , G06V20/13 , G06V20/182
摘要： Methods, non-transitory computer-readable storage media, and computer or computer systems directed to detecting, analyzing, and tracking stages of housing construction using satellite or aerial imagery in combination with a machine learned model are described.
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公开(公告)号：US12094184B2
公开(公告)日：2024-09-17
申请号：US17410630
申请日：2021-08-24
申请人： Apple Inc.
发明人： Chen Huang , Seyed Hesameddin Najafi Shoushtari , Frankie Lu , Shih-Yu Sun , Joshua M. Susskind
CPC分类号： G06V10/751 , G06V10/34 , G06V10/40
摘要： Feature descriptor matching is reformulated into a graph-matching problem. Keypoints from a query image and a reference image are initially matched and filtered based on the match. For a given keypoint, a feature graph is constructed based on neighboring keypoints surrounding the given keypoint. The feature graph is compared to a corresponding feature graph of a reference image for the matched keypoint. Relocalization data is obtained based on the comparison.
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公开(公告)号：US20240302665A1
公开(公告)日：2024-09-12
申请号：US18670284
申请日：2024-05-21
发明人： Myung-sik KIM , Su-jung BAE , Moon-sik JEONG , Sung-do CHOI
IPC分类号： G02B27/01 , G06F1/16 , G06F3/00 , G06F3/01 , G06F3/0346 , G06F3/041 , G06F3/0482 , G06F3/0483 , G06F3/147 , G06T19/00 , G06V10/10 , G06V10/20 , G06V10/40 , G06V10/75 , G06V20/20
CPC分类号： G02B27/0172 , G06F1/163 , G06F1/1686 , G06F3/005 , G06F3/011 , G06F3/017 , G06F3/0346 , G06F3/0416 , G06F3/0482 , G06F3/0483 , G06F3/147 , G06T19/006 , G06V10/10 , G06V10/20 , G06V10/255 , G06V10/40 , G06V10/751 , G06V20/20 , G02B2027/0138 , G02B2027/014 , G02B2027/0178
摘要： A method and an apparatus for processing a screen by using a device are provided. The method includes obtaining, at the second device, a display screen displayed on the first device and information related to the display screen according to a screen display request regarding the first device, determining, at the second device, an additional screen based on the display screen on the first device and the information related to the display screen, and displaying the additional screen near the display screen on the first device.
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