公开(公告)号：US11756161B2

公开(公告)日：2023-09-12

申请号：US17340117

申请日：2021-06-07

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Zhanli Hu ,  Hairong Zheng ,  Na Zhang ,  Xin Liu ,  Dong Liang ,  Yongfeng Yang ,  Hanyu Sun

IPC: G06T5/00 ,  A61B6/03 ,  G06N3/08 ,  G06N3/045

CPC classification number: G06T5/00 ,  A61B6/037 ,  G06N3/045 ,  G06N3/08 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/20081

Abstract: The present application relates to a method and system for generating multi-task learning-type generative adversarial network for low-dose PET reconstruction, and relates to the field of deep learning. The method includes connecting layers of the encoder with layers of the decoder by skip connection to provide a U-Net type picture generator; generating a group of generative adversarial networks by matching a plurality of picture generators with a plurality of discriminators in one-to-one manner; obtaining a first multi-task learning-type generative adversarial network; designing a joint loss function 1 for improving image quality; and training the first multi-task learning-type generative adversarial network according to the joint loss function 1 in combination with an optimizer to provide a second multi-task learning-type generative adversarial network.

公开(公告)号：US11650355B2

公开(公告)日：2023-05-16

申请号：US16902225

申请日：2020-06-15

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Hairong Zheng ,  Xiangxiang Xia ,  Feiyan Cai ,  Manzhu Ke ,  Hui Zhou ,  Fei Li ,  Di Xu ,  Yongchuan Li

IPC: G02B3/00 ,  G10K11/30

CPC classification number: G02B3/0012 ,  G02B3/0037 ,  G10K11/30

Abstract: A planar lens (100) and a manufacturing method for a planar lens (100) relate to the technical field of lenses, the planar lens (100) being a focusing lens and comprising an acoustic soft material tangible structure (110) and a cover layer (120), the acoustic soft material tangible structure (110) comprises a plurality of combination lenses (130) located in the same plane, each combination lens (130) comprises a circular part (131) and a plurality of concentric annular parts (132) which are continuously arranged around the circular part (131), the thicknesses of each two adjacent annular parts (132) in each combination lens (130) are different, and the thickness of each annular part (132) is related to the focal length of the respective combination lens (130); and the cover layer (120) covers the outer surface of the acoustic soft material tangible structure (110) to form the planar lens (100).

公开(公告)号：US20230133153A1

公开(公告)日：2023-05-04

申请号：US17841189

申请日：2022-06-15

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Qi ZENG ,  Tianzhun WU

IPC: C25D7/12 ,  A61B5/268 ,  A61B5/1468 ,  B08B3/08 ,  B08B7/02 ,  C25D5/02 ,  C25D5/34 ,  G01N27/327

Abstract: Provided are composite array electrode, preparation method thereof and use thereof. The composite array electrode comprises a microelectrode array substrate, and a modification layer formed on a surface of a microelectrode of the microelectrode array substrate, wherein the modification layer comprises a plurality of electrically conductive layers arranged at intervals on the surface of the microelectrode, an insulating layer arranged on the surface of the microelectrode except the electrically conductive layers, and wherein material for the electrically conductive layers comprises one or more of nano platinum, nano iridium, conductive polymer and carbon nanotubes. The composite array electrode effectively eliminates the influence of edge effect such that the electric field distributes uniformly on the microelectrode surface of the composite array electrode, significantly improving electrochemical performance and detection capability of the electrode.

公开(公告)号：US20230033666A1

公开(公告)日：2023-02-02

申请号：US17953356

申请日：2022-09-27

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： HAIRONG ZHENG ,  XIN LIU ,  NA ZHANG ,  ZHANLI HU ,  DONG LIANG ,  YONGFENG YANG ,  QI YANG

IPC: G06T11/00 ,  G06V10/776 ,  G06V10/774 ,  G06V10/77 ,  G06V10/82 ,  G06V10/40 ,  G06V10/764

Abstract: A medical image noise reduction method, system, terminal and storage medium are disclosed. The method includes: obtaining a standard-dose PET image and a. constant-value image; inputting the standard-dose PET image and the constant-value image into a decay function to obtain a corresponding low-dose noisy PET image and a noisy constant-value image, respectively; assembling the low-dose noisy PET image and the noisy constant-value image in a width dimension or a height dimension, and then inputting into a trained conjugate generative adversarial network, and outputting a denoised PET image and constant-value image output by the conjugate generative adversarial network.

公开(公告)号：US11538588B2

公开(公告)日：2022-12-27

申请号：US16901033

申请日：2020-06-15

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Ye Li ,  Xiaomao Fan ,  Qihang Yao ,  Liyan Yin

IPC: G06N3/00 ,  G16H50/20 ,  A61B5/00 ,  G06N3/04 ,  G06N3/08 ,  A61B5/352 ,  A61B5/361

Abstract: The present disclosure provides an atrial fibrillation signal recognition method, apparatus and device. The method comprises: obtaining an electrocardiogram signal to be recognized; inputting the electrocardiogram signal to be recognized to a pre-established atrial fibrillation signal recognition model, and outputting an atrial fibrillation signal recognition result, where the atrial fibrillation signal recognition model is established in the following way: obtaining a specified number of electrocardiogram sample signals and corresponding identifier information; balancing, according to the number of normal signals, atrial fibrillation signals by means of SMOTE; establishing a network structure of multiple convolutional neural networks, each of the convolutional neural networks being provided with a specific receptive field for recognizing the atrial fibrillation signals of a corresponding granularity; and inputting the normal signals and the balanced atrial fibrillation signals to the network structure for training to generate an atrial fibrillation signal recognition model.

公开(公告)号：US11508048B2

公开(公告)日：2022-11-22

申请号：US16976474

申请日：2020-02-10

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Zhan Li Hu ,  Dong Liang ,  Yong Chang Li ,  Hai Rong Zheng ,  Yong Feng Yang ,  Xin Liu

IPC: G06T5/50 ,  G06T5/00

Abstract: The present disclosure discloses a method and a system for generating a composite PET-CT image based on a non-attenuation-corrected PET image. The method includes: constructing a first generative adversarial network and a second generative adversarial network; obtaining a mapping relationship between a non-attenuation-corrected PET image and an attenuation-corrected PET image by training the first generative adversarial network; obtaining a mapping relationship between the attenuation-corrected PET image and a CT image by training the second generative adversarial network; and generating the composite PET-CT image by utilizing the obtained mapping relationships. According to the present disclosure, a high-quality PET-CT image can be directly composited from a non-attenuation-corrected PET image, and medical costs can be reduced for patients, and radiation doses applied to the patients in examination processes can be minimized.

公开(公告)号：US20220328863A1

公开(公告)日：2022-10-13

申请号：US17853898

申请日：2022-06-29

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： YONGBING TANG ,  MAOHUA SHENG ,  FAN ZHANG ,  BIFA JI

IPC: H01M10/0525 ,  H01M10/0567 ,  H01M4/505 ,  H01M4/525 ,  H01M4/58 ,  H01M4/66 ,  H01M10/0568 ,  H01M10/0569 ,  H01M4/36 ,  H01M4/485 ,  H01M4/80 ,  H01M4/1395 ,  H01M4/46 ,  H01M4/134 ,  H01M10/0585 ,  H01M50/44 ,  H01M50/409 ,  H01M50/411 ,  H01M50/431 ,  H01M4/62 ,  H01M10/058

Abstract: A secondary battery and a method for making the same are disclosed. The secondary battery includes a battery negative electrode, an electrolyte liquid, a diaphragm and a battery positive electrode. The battery negative electrode includes a negative electrode current collector, which also acts as a negative electrode active material. The electrolyte liquid includes an electrolyte and a solvent, the electrolyte being a lithium salt. The battery positive electrode includes a positive electrode current collector and a positive electrode active material layer, which includes a positive electrode active material capable of reversibly de-intercalating lithium ions.

公开(公告)号：US20220262498A1

公开(公告)日：2022-08-18

申请号：US17739121

申请日：2022-05-08

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Na ZHANG ,  Hairong ZHENG ,  Xin LIU ,  Zhanli HU ,  Zhiyuan HUANG ,  Dong LIANG

IPC: G16H30/40 ,  G06V10/75 ,  G06T5/00 ,  G06V10/774 ,  G06N3/08

Abstract: A medical image processing method and processing apparatus, and a computer readable storage medium. The method includes: obtaining a to-be-processed image; performing a feature extraction on the to-be-processed image to obtain a corresponding feature image; and re-determining a pixel value of each pixel in the to-be-processed image based on first information and second information of a corresponding pixel in the feature image, and processing the to-be-processed image; wherein the first information is information of a pixel adjacent to the corresponding pixel in the features image, and the second information is information of a pixel that is not adjacent to and is similar to the corresponding pixel in the features image.

公开(公告)号：US20220253351A1

公开(公告)日：2022-08-11

申请号：US17618758

申请日：2020-03-26

Applicant: Shenzhen Institutes of Advanced Technology

Inventor： Lei PENG ,  Junnan ZHANG ,  Huiyun LI

IPC: G06F11/07

Abstract: A method and an apparatus for generating time series data based on multi-condition constraints, and a medium are provided. The method include the following: a data repair request from a client is received, the data repair request including to-be-repaired data and condition information; normalization processing is performed on the to-be-repaired data to obtain normalized data, and tensor processing is performed on the condition information to obtain a feature label; a trained data repair model is called to perform repair processing on the normalized data according to the feature label to obtain first repaired data, the data repair model being obtained by training according to sample data, a first sample condition, real sample data and a second sample condition, and the sample data being noise data; and the first repaired data is sent to the client. By adopting embodiments of the application, rich features of the data can be acquired without a large amount of historical data or sample data with high matching degree as training basis, thus ensuring the accuracy and timing of the repaired data, and improving the repair efficiency and quality.

公开(公告)号：US20220165155A1

公开(公告)日：2022-05-26

申请号：US17440626

申请日：2019-05-08

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： Lei PENG ,  Yan NIE

IPC: G08G1/14 ,  G08G1/01 ,  G06N3/04 ,  G06N3/08

Abstract: A parking guidance method based on temporal and spatial features and its device, equipment, and storage medium, wherein the said method consists of two steps: accessing the estimated driving information of the targeted vehicles (S101), where the estimated driving information includes the targeted vehicle's planned driving route, destination and estimated time of arrival; inputting the estimated driving information into the pre-trained city-wide parking guidance system to generate recommended parking lot information for the targeted vehicle, where the city-wide parking guidance system is a spatiotemporal classifier trained with the parking events of urban cities in the current city as the training data (S102). The said method eliminates the necessity of relying on parking data from urban parking lots and effectively improves the city-wide parking guidance effect.