Tencent Technology (shenzhen) Company Limited

Huawei Technologies Co., Limited

Zte Corporation

Sunshine Lake Pharma Co., Ltd.

Arris Enterprises LLC

Semiconductor Manufacturing International (shanghai) Corporation

Autoliv Development Ab

Semiconductor Manufacturing International (beijing) Corporation

Opple Lighting Co., Ltd.

Sap Ag

Shenzhen China Star Optoelectronics Technology Co., Ltd.

Sabic Global Technologies B.v.

Xi'an Zhongxing New Software Co., Ltd.

Fudan University

Huawei Device Co., Ltd.

Liang Wang

Jianhua Yao

Ning Xi

Xiaoyang Ye

Tao Li

Xu Zhang

Jian Wang

Yong Sen Zheng

Jie He

Zhixian Zhou

Yuhong Zhu

Jun Zhao

Cheng Yi Huang

Xiangyang Xu

Hao Li

Xin Wang

Ya Ming Zhang

Qian Wang

Yang Hu

Yan Li

Yanjun Wu

Lei Chen

Yong Zhao

Hao Yan

Yan Chen

Rui Chen

Jie Zhao

Hui Li

Yan Gao

Jinsheng Li

Qing Huang

Wei Li

Tongbo Wang

Kun Peng Wang

Jun He

Songcen Xu

Dake Shen

Wei Meng

Zhihui Gong

Weiyu Zheng

Wenjie Zhu

Yi Lu

Xiyu Zhou

Pengfei Zhang

Tianchang Gou

Jianyu Wang

Xinhua Xiao

Jinming Zhang

Zhi Guo

Zhuofei Li

Wei Wen

Yanchun Zhu

Jingyun Zhang

Tianhang Zheng

Wanghui Yan

Jiarui Sun

Yifeng Li

Juan Bian

Conglei Yao

Xiaoping Fan

Jiwei Guo

Yaqing Li

Feng Jiao

Luyi Lin

Junjie Zhai

Tingjin Wang

Yanan Li

Chengjie Tu

Lina Yuan

Cheng Jiang

Chiaching Chu

Kuan Tian

Hongtao Shi

Le Li

Dustin Yuk Lun Wai

Yanxiong Lu

Alex William Chow

Qi Guo

Min Liao

Jingbing Chen

Zirong Zhu

Cheng Wu

Ziming Zhuang

Chuanfan Ding

Kaiwen Xiao

Yukun Wang

Guanglin Wang

Xiaojian Xia

Houmei Teng

Liya Yuan

Zhichao Chen

Rongbo Shen

Yixiu Hao

Jiongjin Su

Xiaojun Yue

Shui Cao

Bei Li

Yong Zheng

This application provides an artificial intelligence-based pathological image processing method performed by an electronic device. The method includes: determining a seed pixel of an immune cell region from a pathological image; obtaining a seed pixel mask image corresponding to the seed pixel of the immune cell region from the pathological image based on the seed pixel of the immune cell region; segmenting an epithelial cell region in the pathological image, to obtain an epithelial cell mask image of the pathological image; fusing the seed pixel mask image and the epithelial cell mask image of the pathological image, to obtain an effective seed pixel mask image corresponding to the immune cell region in the pathological image; and determining a ratio value of the immune cell region in the pathological image based on the effective seed pixel mask image.

Artificial intelligence-based pathological image processing method and apparatus, electronic device, and storage medium

An artificial intelligence-based image processing method implemented by a computer device is provided. The method includes: acquiring an image; performing element region detection on the image to determine an element region in the image; detecting a target element region in the image using an artificial intelligence-based technique; generating a target element envelope region by searching an envelope for the detected target element region; and fusing the element region and the target element envelope region to obtain a target element region outline.

Artificial intelligence-based image processing method and apparatus, computer device and storage medium

A computer device obtains a medical image set. The device identifies a difference between the reference medical image and the target medical image to obtain a candidate non-lesion region in the target medical image. The device determines area size information of the candidate non-lesion region as candidate area size information. The device adjusts the candidate non-lesion region according to the annotated area size information when the candidate area size information does not match the annotated area size information, so as to obtain a target non-lesion region in the target medical image.

Medical image processing method and apparatus, device, storage medium, and product

A medical image processing method and apparatus, and an image processing method and apparatus, terminal and storage medium that obtains a to-be-processed medical image; generates a difference image according to the first image data, the second image data, and the third image data included in the to-be-processed medical image; and performs binarization processing on the difference image to obtain a binarized image, a foreground region of the binarized image corresponding to a pathological tissue region of the to-be-processed medical image. A difference image is generated based on color information of different channels before binarization processing is performed on an image, thereby effectively using the color information in the image. The pathological tissue region extracted based on the difference image is more accurate and facilitates subsequent image analysis.

Medical image processing method and apparatus, image processing method and apparatus, terminal and storage medium

Humidifier

The present disclosure provides a medical image segmentation method. The medical image segmentation method includes acquiring a to-be-processed medical image set, the to-be-processed medical image set including a plurality of to-be-processed medical images corresponding to different time points, processing the to-be-processed medical image set in a time dimension according to the to-be-processed medical images and the time points corresponding to the to-be-processed medical images to obtain a temporal dynamic image, and extracting a target region feature from the temporal dynamic image by using a medical image segmentation model, to acquire a target region.

Medical image segmentation method, image segmentation method, and related apparatus and system

Air purifier

A method and system for inter-domain data interaction are provided. The method includes: a management apparatus configures, in respective domains, one or more models in a model group; a data collection apparatus encapsulates collected data in a designated message, and sends the designated message to a forwarder corresponding to a model, wherein the designated message carries indication information for indicating an address of the forwarder; and after processing the collected data, the forwarder processes the designated message, and sends the processed designated message to a next forwarder.

Method and apparatus for inter-domain data interaction

An AI-based object classification method and apparatus, a computer-readable storage medium, and a computer device. The method includes: obtaining a target image to be processed, the target image including a target detection object; separating a target detection object image of the target detection object from the target image; inputting the target detection object image into a feature object prediction model to obtain a feature object segmentation image of a feature object in the target detection object image; obtaining quantitative feature information of the target detection object according to the target detection object image and the feature object segmentation image; and classifying the target detection object image according to the quantitative feature information to obtain category information of the target detection object in the target image.

Ai-based object classification method and apparatus, and medical imaging device and storage medium

Cooling fan

A method is provided and includes acquiring a digital slide comprising objects of at least two sizes, the objects including a first object of a first size and a second object of a second size different from the first size, for each of the first object and the second object, acquiring images of a corresponding object in at least two scales based on the digital slide, where the acquired images of the corresponding object in the at least two scales include an image of a larger scale and an image of a smaller scale, the image of the larger scale having a smaller image size and a higher image resolution than the image of the smaller scale, and determining, from the images of the corresponding object in the at least two scales, an image having an image size that corresponds to a size of the corresponding object.

Image processing method and apparatus, smart microscope, readable storage medium and device

Embodiments of this application disclose methods, systems, and devices for image region localization and medical image processing. In one aspect, a method comprises acquiring three-dimensional images of a target body part of a patient. The three-dimensional images comprise a plurality of magnetic resonant imaging (MRI) modalities. The method comprises registering a first image set of a first modality with a second image set of a second modality. After the registering, image features of the three-dimensional images are extracted. The image features are fused to obtain fused features. The method also comprises determining voxel types corresponding to voxels in the three-dimensional images according to the fused features. The method also comprises selecting, from the three-dimensional images, target voxels having a preset voxel type, obtaining position information of the target voxels, and localizing a target region within the target body part based on the position information of the target voxels.

Image region localization method, image region localization apparatus, and medical image processing device

Kitchen scale

A video data processing method is provided to a server. The method includes: obtaining a video sequence associated with a video source and obtaining a video quality standard parameter associated with the video sequence; determining a video feature according to video quality standard parameter; predicting an encoding bit rate according to the video quality standard parameter and the video feature; and encoding the video sequence according to the encoding bit rate to obtain an encoded video sequence associated with the video source.

Video data processing method and apparatus, and storage medium

Embodiments of this application disclose a data transmission method performed by a sender network adapter associated with a sender server. The method includes: acquiring an original data packet, a first address, and a tenant identifier, the first address comprising an address of a receiver network adapter associated with a receiver server, and the tenant identifier being used for indicating a corresponding tenant on the receiver server; performing tunnel encapsulation on the original data packet based on the first address and the tenant identifier to obtain a tunnel data packet; sending the tunnel data packet to the receiver network adapter; decapsulating, by the receiver network adapter, the tunnel data packet to obtain the original data packet and the tenant identifier; and transmitting the original data packet and the tenant identifier to the receiver server, which is configured to deliver the original data packet to a tenant corresponding to the tenant identifier.

Data transmission method and apparatus, network adapter, and storage medium

Growing community of inventors

Shenzhen, China

Liang Wang