Patents by Inventor Hong Shang
Hong Shang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11969145Abstract: A medical endoscope image recognition method is provided. In the method, endoscope images are received from a medical endoscope. The endoscope images are filtered with a neural network, to obtain target endoscope images. Organ information corresponding to the target endoscope images is recognized via the neural network. An imaging type of the target endoscope images is identified according to the corresponding organ information with a classification network. A lesion region in the target endoscope images is localized according to an organ part indicated by the organ information. A lesion category of the lesion region in an image capture mode of the medical endoscope corresponding to the imaging type is identified.Type: GrantFiled: August 26, 2021Date of Patent: April 30, 2024Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventors: Zijian Zhang, Zhongqian Sun, Xinghui Fu, Hong Shang, Xiaoning Wang, Wei Yang
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Patent number: 11967414Abstract: This application relates to an image recognition model training method, an image recognition method, apparatus, and system. The method includes: obtaining a to-be-recognized image; extracting image feature information of the to-be-recognized image; and obtaining a lesion category recognition result of the to-be-recognized image by using the image feature information of the to-be-recognized image as an input parameter of a preset image recognition model, the image recognition model being trained by using a training image sample set comprising at least one strong-label training image sample, to determine the lesion category recognition result; and the strong-label training image sample representing an image sample having strong-label information, and the strong-label information comprising at least annotation information of a lesion category and a lesion position in the strong-label training image sample.Type: GrantFiled: May 14, 2021Date of Patent: April 23, 2024Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventors: Han Zheng, Zhongqian Sun, Hong Shang, Xinghui Fu, Wei Yang
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Patent number: 11960571Abstract: A method for training an image recognition model includes: obtaining training image sets; obtaining a first predicted probability, a second predicted probability, a third predicted probability, and a fourth predicted probability based on the training image sets by using an initial image recognition model; determining a target loss function according to the first predicted probability, the second predicted probability, the third predicted probability, and the fourth predicted probability; and training the initial image recognition model based on the target loss function, to obtain an image recognition model.Type: GrantFiled: October 29, 2021Date of Patent: April 16, 2024Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventors: Hong Shang, Han Zheng, Zhongqian Sun
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Patent number: 11915415Abstract: Embodiments of this application include an image processing method and apparatus, a non-transitory computer-readable storage medium, and an electronic device. In the image processing method a to-be-predicted medical image is input into a multi-task deep convolutional neural network model. The multi-task deep convolutional neural network model includes an image input layer, a shared layer, and n parallel task output layers. One or more lesion property prediction results of the to-be-predicted medical image is output through one or more of the n task output layers. The multi-task deep convolutional neural network model is trained with n types of medical image training sets, n being a positive integer that is greater than or equal to 2.Type: GrantFiled: February 8, 2021Date of Patent: February 27, 2024Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventors: Hong Shang, Zhongqian Sun, Xinghui Fu, Wei Yang
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Patent number: 11748883Abstract: A colon polyp image processing method is provided. A value of a blood vessel color feature in an endoscopic image is classified by using an image classification model trained using a neural network algorithm to determine that the endoscopic image is a white light type picture or an endoscope narrow band imaging (NBI) type picture. A polyp in the endoscopic image is detected by using a polyp positioning model based on the determination that the endoscopic image is the white light type picture or the NBI type picture. A polyp type classification detection is performed on the detected polyp in the endoscopic image by using a polyp property identification model, and outputting an identification result.Type: GrantFiled: August 10, 2022Date of Patent: September 5, 2023Assignee: Tencent Technology (Shenzhen) Company LimitedInventors: Xinghui Fu, Zhongqian Sun, Hong Shang, Zijian Zhang, Wei Yang
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Patent number: 11732042Abstract: The present disclosure relates to composition and methodology for using the CD2 receptor to block viral replication, such as HIV-1 infection. In one embodiment, viral target cells such as blood CD4 T cells can be rendered resistant to HIV through stimulation of the CD2 receptor with either an antibody, a ligand, or a small molecule that binds to the CD2 receptor. Pre-stimulation of CD2 can be used to enhance the anti-HIV immunity and used to promote immune response from HIV infection or from an anti-HIV vaccine.Type: GrantFiled: October 10, 2018Date of Patent: August 22, 2023Inventors: Yuntao Wu, Hong Shang
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Publication number: 20230117415Abstract: A medical bed horizontal driving mechanism includes a bracket, a drum, an electric motor, and a position sensor. The bracket is configured to be fixedly connected to a bed frame of a medical bed. The drum is rotatably connected to the bracket. The drum is rotatable to drive a bed board of the medical bed to move relative to the bed frame. The electric motor is arranged in a cavity of the drum. A housing of the electric motor is fixedly connected to the bracket. An output shaft of the electric motor is connected to the drum to drive the drum to rotate relative to the bracket. The position sensor is arranged in the cavity of the drum. The position sensor can detect a rotational position of the drum and generate a position signal, which is used to control the electric motor.Type: ApplicationFiled: March 13, 2020Publication date: April 20, 2023Applicant: Siemens Shanghai Medical Equipment Ltd.Inventors: Hong Shang, Shi Kun Qian
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Patent number: 11610310Abstract: The present disclosure describes a method, an apparatus, and storage medium for recognizing medical image. The method includes obtaining, by a device, a medical image. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes determining, by the device, the medical image through a first recognition model to generate a lesion recognition result used for indicating whether the medical image comprises a lesion; and in response to the lesion recognition result indicating that the medical image comprises a lesion, recognizing, by the device, the medical image through a second recognition model to generate a lesion degree recognition result of the medical image used for indicating a degree of the lesion. Manual analysis and customization of a feature extraction solution are not required, so that the efficiency and accuracy of medical image recognition are improved.Type: GrantFiled: July 1, 2022Date of Patent: March 21, 2023Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventors: Xinghui Fu, Zhongqian Sun, Hong Shang, Wei Yang
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Publication number: 20220392068Abstract: A colon polyp image processing method is provided. A value of a blood vessel color feature in an endoscopic image is classified by using an image classification model trained using a neural network algorithm to determine that the endoscopic image is a white light type picture or an endoscope narrow band imaging (NBI) type picture. A polyp in the endoscopic image is detected by using a polyp positioning model based on the determination that the endoscopic image is the white light type picture or the NBI type picture. A polyp type classification detection is performed on the detected polyp in the endoscopic image by using a polyp property identification model, and outputting an identification result.Type: ApplicationFiled: August 10, 2022Publication date: December 8, 2022Applicant: Tencent Technology (Shenzhen) Company LimitedInventors: Xinghui FU, Zhongqian SUN, Hong SHANG, Zijian ZHANG, Wei YANG
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Publication number: 20220343502Abstract: The present disclosure describes a method, an apparatus, and storage medium for recognizing medical image. The method includes obtaining, by a device, a medical image. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes determining, by the device, the medical image through a first recognition model to generate a lesion recognition result used for indicating whether the medical image comprises a lesion; and in response to the lesion recognition result indicating that the medical image comprises a lesion, recognizing, by the device, the medical image through a second recognition model to generate a lesion degree recognition result of the medical image used for indicating a degree of the lesion. Manual analysis and customization of a feature extraction solution are not required, so that the efficiency and accuracy of medical image recognition are improved.Type: ApplicationFiled: July 1, 2022Publication date: October 27, 2022Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventors: Xinghui FU, Zhongqian SUN, Hong SHANG, Wei YANG
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Patent number: 11468563Abstract: A colon polyp image processing method and apparatus and a system are disclosed in the embodiments of this application to detect a position of a polyp in real time and determine a property of the polyp, and thereby improve the processing efficiency of a polyp image. Embodiment of this application provide a colon polyp image processing method that can include detecting a position of a polyp in a to-be-processed endoscopic image by using a polyp positioning model, and positioning a polyp image block in the endoscopic image. The polyp image block can include a position region of the polyp in the endoscopic image. The method can further include performing a polyp type classification type on the polyp image block by using a polyp property identification model, and outputting an identification result.Type: GrantFiled: September 18, 2020Date of Patent: October 11, 2022Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventors: Xinghui Fu, Zhongqian Sun, Hong Shang, Zijian Zhang, Wei Yang
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Patent number: 11410306Abstract: The present disclosure describes a method, an apparatus, and storage medium for recognizing medical image. The method includes obtaining, by a device, a medical image. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes determining, by the device, the medical image through a first recognition model to generate a lesion recognition result used for indicating whether the medical image comprises a lesion; and in response to the lesion recognition result indicating that the medical image comprises a lesion, recognizing, by the device, the medical image through a second recognition model to generate a lesion degree recognition result of the medical image used for indicating a degree of the lesion. Manual analysis and customization of a feature extraction solution are not required, so that the efficiency and accuracy of medical image recognition are improved.Type: GrantFiled: October 23, 2020Date of Patent: August 9, 2022Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventors: Xinghui Fu, Zhongqian Sun, Hong Shang, Wei Yang
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Publication number: 20220230311Abstract: This application provides an endoscopic image processing method and apparatus, an electronic device, and a storage medium. The method includes: obtaining an endoscopic video stream, the endoscopic video stream including an original endoscopic image; detecting the original endoscopic image in a corresponding video frame through a first thread, and transmitting a detection result of the original endoscopic image to an integration module; forming a control instruction through the integration module according to the detection result; and adjusting, in response to the control instruction and through a second thread, an output result in the second thread, the output result corresponding to a use environment of the endoscopic video stream, the first thread and the second thread being parallel threads.Type: ApplicationFiled: February 21, 2022Publication date: July 21, 2022Inventors: Zijian ZHANG, Hong SHANG, Zhongqian SUN
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Publication number: 20220222925Abstract: An artificial intelligence-based image processing method includes: obtaining a first sample image of a source domain and a second sample image of a target domain, the first sample image of the source domain carrying a corresponding target processing result; converting the first sample image into a target sample image, the target sample image carrying a corresponding target processing result; training a first image processing model based on the target sample image and the target processing result corresponding to the target sample image, to obtain a second image processing model; and inputting, in response to obtaining a human tissue image of the target domain, the human tissue image into the second image processing model, positioning, by the second image processing model, a target human tissue in the human tissue image, and outputting position information of the target human tissue in the human tissue image.Type: ApplicationFiled: March 31, 2022Publication date: July 14, 2022Inventors: Han ZHENG, Hong SHANG, Xiaoning WANG, Jianhua YAO
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Publication number: 20220207862Abstract: An image analysis method includes: obtaining an image; performing image classification on the image by using an image classification network, to obtain an image classification result of an image category of the image, the image category including a first category and a second category different from the first category; performing object detection on the image by using an object detection network, to obtain an object detection result of a target object associated with the first category; and generating an image analysis result of the image based on the image classification result and the object detection result.Type: ApplicationFiled: March 18, 2022Publication date: June 30, 2022Inventors: Xiaoning WANG, Jianhua YAO, Hong SHANG, Han ZHENG
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Publication number: 20220189147Abstract: An object detection model training method includes: inputting an unannotated first sample image into an initial detection model of a current round, and outputting a first prediction result for a target object, transforming the first sample image and a first prediction position region within the first prediction result to obtain a second sample image and a prediction transformation result in the second sample image; inputting the second sample image into the initial detection model, and outputting a second prediction result for the target object; obtaining a loss value of unsupervised learning according to a difference between the second prediction result and the prediction transformation result; and adjusting model parameters of the initial detection model according to the loss value and returning to the operation of inputting a first sample image into an initial detection model of a current round to perform iterative training, to obtain an object detection model.Type: ApplicationFiled: February 28, 2022Publication date: June 16, 2022Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventors: Jiaxuan ZHUO, Hong SHANG, Zhongqian SUN, Han ZHENG, Xinghui FU
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Publication number: 20220180520Abstract: A target positioning method is provided to include: determining, in response to determining that a video frame image including a target lesion is detected from a video stream, location information of the target lesion on the video frame image; tracking the target lesion according to the location information of the target lesion on the video frame image, and determining location information of the target lesion on a video frame image in the video stream.Type: ApplicationFiled: February 22, 2022Publication date: June 9, 2022Inventors: Hong SHANG, Zijian ZHANG, Zhongqian SUN
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Publication number: 20220172828Abstract: This application relates to an endoscopic image display method, apparatus, computer device, and storage medium, and relates to the field of machine learning technologies. The method acquiring an endoscopic image; locating a target region image in the endoscopic image, the target region image being a partial image comprising a target region; inputting the target region image into a coding network to obtain a semantic feature of the target region image, the coding network being a part of an image classification network, and the image classification network being a machine learning network obtained through training with first training images; matching the semantic feature of the target region image against semantic features of image samples to obtain a matching result, the matching result indicating a target image sample that matches the target region image; and displaying the endoscopic image and the matching result in an endoscopic image display interface.Type: ApplicationFiled: February 17, 2022Publication date: June 2, 2022Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITEDInventors: Junwen QIU, Zhongqian SUN, Xinghui FU, Hong SHANG, Han ZHENG
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Publication number: 20220058821Abstract: A medical image processing method includes: determining a target mask of a target object in a medical image and a reference mask of a reference object in the medical image, the target mask indicating a position and a boundary of the target object, and the reference mask indicating a position and a boundary of the reference object; determining a feature size of the target object based on the target mask; determining a feature size of the reference object based on the reference mask; and determining a target size of the target object based on the feature size of the reference object, a preset mapping relationship between the feature size of the reference object and a reference size, and the feature size of the target object.Type: ApplicationFiled: November 7, 2021Publication date: February 24, 2022Inventors: Xinghui FU, Han ZHENG, Junwen QIU, Hong SHANG, Zhongqian SUN
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Publication number: 20220051059Abstract: A method for training an image recognition model includes: obtaining training image sets; obtaining a first predicted probability, a second predicted probability, a third predicted probability, and a fourth predicted probability based on the training image sets by using an initial image recognition model; determining a target loss function according to the first predicted probability, the second predicted probability, the third predicted probability, and the fourth predicted probability; and training the initial image recognition model based on the target loss function, to obtain an image recognition model.Type: ApplicationFiled: October 29, 2021Publication date: February 17, 2022Inventors: Hong SHANG, Han ZHENG, Zhongqian SUN