Toshiba Medical Systems Corporation

Canon Medical Systems Corporation

Apollo Intelligent Connectivity (beijing) Technology Co., Ltd.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Qiqi Xu

Fan Yang

Chengfa Wang

Yongyi Sun

Xuan Huang

Fanjie Meng

Hui Yuan

Xiaojing Wang

Hitoshi Yamagata

Bing Li

Bing Han

Takuma Igarashi

Atsuko Sugiyama

Kyoko Sato

Xiaowei Yuan

Li Jun Zhang

Sha Wang

Ye Yue

Jie Lu

Qi Zhu

An image processing method according to an embodiment includes a specifying step, an inference step, and an integration step. In the specifying step, a first portion including a region corresponding to an anatomical site of a target and a second portion including a region different from the anatomical site are specified in the image. In the inference step, by using a deep learning model, segmentation of the region corresponding to the anatomical site is performed on the first portion and segmentation of the region different from the anatomical site is performed on the second portion, or classification and detection of an image including the region corresponding to the anatomical site is performed on the first portion and classification and detection of an image including the region different from the anatomical site is performed on the second portion. In the integration step, results of the respective processes are integrated for output.

Image processing method, image processing system, and non-transitory computer readable medium

A medical image diagnostic apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain image data which is generated by scanning a brain of a subject; select a target region from the image data; extract a connected region of which a brain function is associated with a brain function of the target region, as an additional region; and output scan target region including the target region and the additional region.

Medical image diagnostic apparatus, medical imaging apparatus and medical imaging method

A time-segmented signal timing method is related to the field of intelligent transportation. The specific implementation is: obtaining traffic volume data of a target intersection in each period of time of N consecutive days, N being an integer greater than 1; performing curve fitting on the traffic volume data to determine a traffic volume curve corresponding to the target intersection of each day; determining calculating respective target points in the traffic volume curve with second derivatives satisfying a preset condition; and performing time-segmented signal timing on a traffic light at the target intersection based on time points corresponding to the respective target points.

Time-segmented signal timing method and apparatus for traffic light, electronic device and storage medium

A method and an electronic device for detecting a vehicle queue length are disclosed. The method includes: when determining that a traffic light turns green, obtaining vehicle information of each vehicle on a lane section to be detected in a first preset time period before a time point when the traffic light turns green; determining at least one vehicle that has a static position and a static time point on the lane section to be detected; determining a first queuing vehicle and a last queuing vehicle on the lane section to be detected based on the at least one vehicle that has the static position and the static time point on the lane section to be detected; and determining a vehicle queue length on the lane section to be detected based on a position of the first queuing vehicle and a position of the last queuing vehicle.

Method for detecting vehicle queue length

A method and apparatus for adjusting channelization of a traffic intersection are proposed. The specific implementation of the method is: obtaining a first traffic characteristic of vehicles at each of a plurality of target positions in a process of vehicles in a target traveling direction traveling through the traffic intersection from upstream to downstream in a preset first time period; generating first traffic change information of the traffic intersection based on the first traffic characteristic at each of the plurality of target positions; and in response to that the first traffic change information satisfies a preset first change distribution, generating channelization adjustment information for non-motorized vehicle lanes of the traffic intersection.

Method and apparatus for adjusting channelization of traffic intersection

A medical image diagnosis apparatus according to an embodiment includes an imager, a storage, and processing circuitry. The storage stores therein a correspondence relationship between each of disease patterns and scans used for performing a differential diagnosis process on the disease pattern. The processing circuitry obtains, based on image data acquired by a first scan, a disease pattern having a possibility of being applicable to the subject and a first index value indicating a degree of applicability of the disease pattern. The processing circuitry outputs information indicating the disease pattern to a display when it is possible to perform the differential diagnosis process based on the first index value and outputs an imaging condition used for performing a second scan based on the correspondence relationship and the disease pattern having the possibility when it is not possible to perform the differential diagnosis process based on the first index value.

Medical image diagnosis apparatus and medical image diagnosis system

The present disclosure provides a traffic scheme control method and device. The method includes: obtaining green light waste time of each lane in each flow direction at a traffic intersection during a green light time period; obtaining a class saturation of each lane, and obtaining a class saturation of each flow direction according to the class saturation of each lane; obtaining a class saturation of a current control scheme based on the class saturation of each group of flow directions in the current control scheme; determining a class saturation of each candidate control scheme; and determining a target control scheme having a minimum class saturation, and when the class saturation of the current control scheme is greater than the minimum class saturation, controlling a signal controller to control a next traffic cycle at the traffic intersection according to the target control scheme.

Traffic scheme control method and device

A timing control method and a timing control apparatus for a signal light, and a storage medium are disclosed. The method includes: determining an optimal passing-through duration of a signal light corresponding to each passing-through direction at a target intersection according to traffic in the passing-through direction; determining a range of values for each variable in a calibration function corresponding to the target intersection according to a constraint to each passing-through direction at the target intersection, wherein the calibration function comprises the optimal passing-through duration corresponding to each passing-through direction and a variable corresponding to a final passing-through duration in each passing-through direction; and calculating the final passing-through duration in each passing-through direction in a case where the calibration function meets a preset condition, according to the range of values for each variable.

Timing control method and apparatus for signal light, electronic device and storage medium

An image processing apparatus according to an embodiment includes a scanning protocol creation unit, an image acquisition unit, a post-processing unit, and a storage unit. The scanning protocol creation unit creates a scanning protocol for a particular part of body of an object. The image acquisition unit acquires source image data by scanning the particular part using an imaging device according to scanning parameters in the scanning protocol. The post-processing unit performs post-processing on the source image data according to post-processing parameters in the scanning protocol to obtain processed image data. The storage unit stores the scanning protocol, or store the source image data and the processed image data or index identifiers thereof in association with parameters related to the scanning protocol as single job data of the object. The scanning protocol includes the scanning and the post-processing parameters, and information related to the imaging device and the post-processing unit.

Image processing apparatus, medical imaging device and image processing method

An image processing apparatus, an image processing method and a medical imaging system are disclosed. The image processing apparatus comprises: an original image acquisition section configured to acquire the original image of an object; a parametric image acquisition section configured to acquire a parametric image corresponding to the original image; and an optical attribute value determination section configured to determine, based on the data value of a pixel of the original image and the parameter value of a corresponding pixel in the parametric image, optical attribute values for presenting the pixel of the original image according to a predetermined correspondence.

Image processing apparatus, image processing method and medical imaging device

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry implements registration on a medical image and each of a plurality of reference images. The processing circuitry performs deformation on the medical image based on a result of the registration. The processing circuitry sets a first region of interest on the deformed medical image. The processing circuitry sets on at least two of the plurality of reference images, a second region of interest corresponding to the first region of interest. The processing circuitry retrieves from the reference images on which the second region of interest is set, a reference image similar to an image in the first region of interest.

Growing community of inventors

Beijing, China

Qiqi Xu