Shanghai United Imaging Healthcare Co., Ltd.

Novartis Ag

Zhejiang Sany Equipment Co., Ltd.

Ce Wang

Wenjun Yu

Yufei Mao

Lei Zhang

Xu Wang

Xiaodong Wang

Peng Zhao

Ke Wu

Chunlin Zhao

Chao Fu

Weipin Nie

Yue Gao

Hao Zeng

Chuanfeng Lv

Haibing Deng

Guoliang Xun

Qitao Xiao

Counde Oyang

Jinbiao Liu

Jing Liu

Fei Wang

Cheng Li

Zhi Zhang

Haiqiang Zeng

Liangliang Pan

Jiyong Wang

Jieyan Ma

Bin Tan

Shuai Wang

Zhao Zhang

Qi Duan

Wenqing Liu

Lilong Wang

Yong Luo

Chuanfeng Lyu

Wenhua Wang

Lianghai Jin

Jie Qu

Shili Cao

Fanfan Zhang

Huling Liao

The present invention provides a compound of Formula (I):

Piperidinyl-methyl-purineamines as NSD2 inhibitors and anti-cancer agents

The present disclosure relates to a system and method for extracting a region of interest. Image data in a first sectional plane may be acquired. The image data in the first sectional plane may include at least one first slice image and one second slice image. A first region of interest (ROI) in the first slice image may be determined. A second ROI in the second slice image may be determined. A first volume of interest (VOI) may be determined based on the first ROI, the second ROI, and characteristic information of the image data in the first sectional plane.

System and method for extracting a region of interest from volume data

A method for determining a centerline of a blood vessel in an image associated with a subject is provided. The method includes obtaining a centerline model used for identifying a centerline of a blood vessel and identifying the centerline of the blood vessel based on the centerline model.

Methods and systems for extracting blood vessel

The present disclosure provides computer-aided diagnosis systems and methods. The method may include obtaining multiple medical images of one or more bones; for at least one of the multiple medical images, detecting one or more bone fracture regions of the one or more bones in the medical image; causing a management list to be displayed for managing the one or more bones; receiving an instruction related to selecting at least one of the one or more bones, the instruction being generated through the management list; and upon receiving the instruction, causing the following to be displayed: at least one of one or more reconstructed bone images related to the at least one selected bone; or a marker of the one or more detected bone fracture regions related to the at least one selected bone.

Systems and methods for image processing

Methods and systems for image processing are provided. Image data may be obtained. The image data may include a plurality of voxels corresponding to a first plurality of ribs of an object. A first plurality of seed points may be identified for the first plurality of ribs. The first plurality of identified seed points may be labelled to obtain labelled seed points. A connected domain of a target rib of the first plurality of ribs may be determined based on at least one rib segmentation algorithm. A labelled target rib may be obtained by labelling, based on a hit-or-miss operation, the connected domain of the target rib, wherein the hit-or-miss operation may be performed using the labelled seed points to hit the connected domain of the target rib.

System and method for image segmentation

The present disclosure provides computer-aided diagnosis systems and methods for detecting bone fracture. The method may include obtaining one or more medical images related to one or more bones. The method may also include obtaining a fracture detection model generated based on a machine learning model. The method may also include detecting, for at least one of the one or more medical images, one or more bone fracture regions of the one or more bones in the medical image using the fracture detection model.

The present invention provides a compound of Formula (I): 

Methods and systems for determining a region of interest (ROI) in an image associated with a subject are provided. Slice information of multiple slices of an image are identified and multiple slice ranges are determined based on the slice information. Based on the slice ranges, multiple sub-images of the image are then determined. For each sub-image, a template and a corresponding probability graph are acquired, a registration result is determined by registering the sub-image with the template, and a ROI in the sub-image is identified based on the registration result. A ROI of the image can be determined by combining the ROIs of the sub-images.

A method and system for image processing is provided. The technique incudes acquiring data related to the processing, performing a pre-processing of the data, performing a segmentation of a subject, performing a post-processing of the result of the segmentation and managing storage of the data. The post-process incudes a calibrating and a rendering of the data.

Method and system for image processing

Methods and systems for image segmentation are provided. Image data may be acquired, wherein the image data may include a plurality of ribs. A rib region containing at least a portion of the plurality of ribs may be determined. At least one rib of the plurality of ribs may be selected as a target rib based on the rib region. At least one rib-probability-map relating to the target rib may be generated based on an artificial intelligence algorithm. A starting point of the target rib may be determined based on the image data, wherein the starting point may indicate a starting position for tracking the target rib. At least one portion of the target rib may be tracked based on the starting point and the at least one rib-probability-map. A segmented rib may be obtained by segmenting the at least one portion of the target rib.

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Shanghai, China

Ce Wang