Shenzhen Sibionics Technology Co., Ltd.

Wuhan China Star Optoelectronics Semiconductor Display Technology Co., Ltd.

Nvidia Corporation

Shenzhen Sibright Technology Co., Ltd.

Huawei Technologies Co., Limited

Wuhan China Star Optoelectronics Technology Co., Ltd.

Hon Hai Precision Industry Co., Ltd.

Tencent Technology (shenzhen) Company Limited

Huawei Device Co., Ltd.

Resvent Medical Technology Co., Ltd

Target Biopharmaceutical Technology Shenzhen Company Limited

Yu Zhao

Bin Xia

Caiqin Chen

Juan Wang

Yujing Bai

Zhigang Hu

Xiaoxin Li

Yu Geng Lin

Zhi Chen

Xing Ming

Zhiyu Xiao

Yang Li

Zhandong Zhang

Xiang Sun

Fei Wang

Bin Li

Yang Zhang

Dong Chen

Xiaofeng Zhang

Fan Yu

Cheng Luo

Nebojsa Stojanovic

Chao Xiang

Weixin Ma

Zhiyuan Shen

Tao Sun

Deyuan Chang

Lin Meng

Dan Bai

Bo Luo

Rongrong Zhu

Lili Jin

Min Shu

Chonglu Chen

Xiaoyu Wen

Li-Dong Peng

Xianwen Fang

Kai-Lai Yang

Jian-Ming Huang

Yongmei Xie

Xiangrong Song

Xifei Yang

Junming Huang

Wonjoong Kim

Shilong Zhou

Rong Ran

A touch display panel and an electronic equipment are provided. The touch display panel includes a display area and a non-display area. The touch display panel also includes a touch function layer, a thin film transistor array layer, and an organic light emitting layer. Using a preparation process of the thin film transistor array layer, a touch wiring of the non-display area is formed on a same layer, which can solve a problem of poor etching of the touch wiring due to different substrate materials of a touch trace in the display area and the touch wiring in the non-display area.

Touch display panel and electronic equipment

Some embodiments of the disclosure provide a diabetic retinopathy recognition system (S) based on fundus image. According to an embodiment, the system includes an image acquisition apparatus () configured to collect fundus images. The fundus images include target fundus images and reference fundus images taken from a person. The system further includes an automatic recognition apparatus () configured to process the fundus images from the image acquisition apparatus by using a deep learning method. The automatic recognition apparatus automatically determines whether a fundus image has a lesion and outputs the diagnostic result. According to another embodiment, the diabetic retinopathy recognition system (S) utilizes a deep learning method to automatically determine the fundus images and output the diagnostic result.

Retinopathy recognition system

A pulse current generation circuit () for neural stimulation includes an analogue signal receiving device () for receiving an analogue signal; an analogue-to-digital converter () for converting the analogue signal into a digital control signal; a current signal controller () for producing, according to the digital control signal, pulse current parameters for generating bidirectional pulse current signals; and a current generator () for generating, according to the pulse current parameters, bidirectional pulse current signals for neural stimulation, and the current generator can generate pulse currents of different precisions according to the pulse current parameters. In addition, the present invention further relates to a charge compensation circuit, a charge compensation method, and an implantable electrical retina stimulator using the pulse current generation circuit or the charge compensation circuit.

Pulse current generation circuit

Charge compensation circuit for neural stimulation

A display panel and a display device are provided. A first organic layer of the display panel forms a first barrier portion in a transition area. A first metal layer forms a second barrier portion in the transition area. The second barrier portion covers an upper surface and a first side surface of the first barrier portion, and extends away from the first side surface and beyond a boundary of the upper surface of the first barrier portion, so as to form an undercut structure. Therefore, the problem that in conventional OLED products, water and oxygen gas are easily transmitted from outside of the display panel to inside using the emission layer is alleviated.

Display panel and display device

Ventilator

Some embodiments of the disclosure provide an artificial neural network system for recognizing a lesion in a fundus image. The system includes a pre-processing module configured to pre-process a target fundus image and a reference fundus image taken from one person separately, a first neural network () configured to generate a first advanced feature set from the target fundus image, a second neural network () configured to generate a second advanced feature set from the reference fundus image, a feature combination module () configured to combine the first advanced feature set and the second advanced feature set to form a feature combination set, and a third neural network () configured to generate, according to the feature combination set, a judgmental result of lesions.

System for recognizing diabetic retinopathy

The invention relates to novel camptothecin derivatives and their applications, tumor cell growth inhibitors, ternary complexes, and a method for improving the solubility of the camptothecin derivatives. The camptothecin derivatives are prepared by modifying the substance shown as Formula I with glycosylated triazole at position R. In the structure shown as Formula I, Rrepresents H, Calkyl, Calkyl-D or Chaloalkyl; Rrepresents H, CHN(CH)or CHN(CD); and Rrepresents or H, wherein X represents N, O or S; and L represents polypeptide, Clinear alkyl or derivatives thereof, Clinear or branched acyl derivatives, Cethylene glycol or derivatives thereof. The camptothecin derivatives have high solubility, the anticancer drugs prepared from them have the advantages of wide anticancer spectrum and high safety, and have in vivo anticancer activity higher than irinotecan hydrochloride.

Camptothecin derivatives and preparation methods and applications thereof

A display panel and an electronic device are disclosed. The display panel includes a light-emitting layer, an encapsulation layer, and a touch layer. The light-emitting layer includes a plurality of pixel units and a plurality of isolating units disposed among the pixel units. The touch layer includes at least an insulating dielectric layer covering the encapsulation layer, and a plurality of touch units. The touch layer further includes a plurality of recessed portions disposed on the insulting dielectric layer and corresponding to the pixel units.

Display panel and electronic device including tough layer with recessed portions

The present disclosure provides an artificial neural network system for identifying a lesion in a retinal fundus image that comprises a pre-processing module configured to separately pre-process a target retinal fundus image and a reference retinal fundus image taken from a same person; a first neural network () configured to generate a first advanced feature set from the target retinal fundus image; a second neural network () configured to generate a second advanced feature set from the reference retinal fundus image; a feature combination module () configured to combine the first advanced feature set and the second advanced feature set to form a feature combination set; and a third neural network () configured to generate, according to the feature combination set, a diagnosis result. By using a target retinal fundus image and a reference retinal fundus image as independent input information, the artificial neural network may simulate a doctor, determining lesions on the target retinal fundus image using other retinal fundus images from the same person as a reference, thereby enhancing the diagnosis accuracy.

Artificial neural network and system for identifying lesion in retinal fundus image

Diabetic retinopathy recognition system based on fundus image

Pulse current generation circuit for neural stimulation, charge compensation circuit and method, and implantable electrical retina stimulator

An OLED device is provided, including a substrate and a plurality of OLED subpixels arranged on the substrate. An insulating barrier is provided between every two adjacent OLED subpixels with different colors, and the barrier is configured to block a carrier diffusion between the two adjacent OLED subpixels. The disclosure further provides a display apparatus including the OLED device, which can prevent the light emission crosstalk between the adjacent OLED subpixels and avoid the color coordinate shift of the OLED subpixels.

OLED device and display apparatus

The present invention discloses an array substrate which includes a peripheral driving circuit region. The peripheral driving circuit includes a first metal layer, a first insulating layer and a second metal layer sequentially formed on a base substrate. There is a signal transmission line provided in the driving circuit region. The signal transmission line is connected in series with a current limiting unit. The current limiting unit includes M first metal lines formed in the first metal layer at intervals and N second metal lines formed in the second metal layer at intervals. The M first metal lines and the N second metal lines are alternately connected in series with each other through vias provided in the first insulating layer, and M and N are integers greater than 1, respectively. The present invention further comprises a display device including an array substrate mentioned above.

Array substrate and display device

Embodiments of the present application relate to a method for implementing Turbo equalization compensation. The equalizer divides a first data block into n data segments, where D bits in two adjacent data segments in the n data segments overlap, performs recursive processing on each data segment in the n data segments, before the recursive processing, merges the n data segments to obtain a second data block; and performs iterative decoding on the second data block, to output a third data block, where data lengths of the first data block, the second data block, and the third data block are all 1/T of a code length of a LDPC convolutional code.

Method for implementing turbo equalization compensation, turbo equalizer and system

Growing community of inventors

Shenzhen, China

Yu Zhao