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2067 results about "Sub region" patented technology

Sub-regions (also known as Constellations ), are smaller areas within the larger regions of the galaxies in No Man’s Sky. They may vary greatly in size, from a cluster of a few stars to several hundred systems; they are also often linked to, or perhaps defined by, distinctive visual markers (such as nebulae and dark absorption clouds),...

Method and system for radiology reporting

InactiveUS20190148003A1Rapidly and accurately generatedReducing look away timeMedical imagesMedical reportsRadiology studiesRadiology report
The present invention relates to method for assisting a user in generating an itemised medical report from at least one medical image. The at least one medical image is displayed in a display area of single computer display unit. In the same display area, a sub-region containing a checklist specific to the one or more images is displayed. Items from the checklist can be de-selected. This checklist comprises a list of selectable items, each item representing an organ, structure, or abnormality that has to be checked by the user. Linked to each item in the checklist is a default statement that is a pre-prepared statement indicative of the normality of the item. The default statement is not displayed by default as part of the checklist. The user can select an item from the checklist for providing comments by dictation thereon responsive to an observation in the radiological image. At the end of the image analysis, an editable itemised medical report is generated containing each item of the checklist as a heading and either the dictated comment or the default statement associated with the item as an observation. The editable itemised medical report is rapidly and accurately generated, information is confined to a single screen reducing the look-away time and general discomfort over time for the user.
Owner:GRAIN IP

Dynamic indoor region coverage division method and device for mobile robot

The invention discloses a dynamic indoor region coverage division method and device for a mobile robot. The dynamic indoor region coverage division method at least includes that scanning each row of a raster map to divide the indoor region for two times, dividing the indoor region into an independent sub-region block and an independent region block, wherein the independent region block comprises a plurality of adjacent independent sub-region blocks; acquiring the topology planning sequence of the independent sub-region block and the topology planning sequence of each independent sub-region block of the independent region block based on a reverse searching mode and a minimum tree principle; acquiring the optimal route of the mobile robot in the indoor region based on a Dijkstra algorithm according to the topology planning sequences. The dynamic indoor region coverage division method and device for the mobile robot start from the environment cognition habits of the human to divide the indoor environment for two times, the completeness of the region with a certain function in the environment is guaranteed, and meanwhile, the region with a certain function is divided into the independent sub-regions where the mobile robot can walk; the dynamic indoor region coverage division method and device for the mobile robot conform to the robot thought.
Owner:山东越浩自动化设备有限公司

MRI (Magnetic Resonance Imaging) brain tumor localization and intratumoral segmentation method based on deep cascaded convolution network

ActiveCN108492297AAlleviate the sample imbalance problemReduce the number of categoriesImage enhancementImage analysisClassification methodsHybrid neural network
The invention provides an MRI (Magnetic Resonance Imaging) brain tumor localization and intratumoral segmentation method based on a deep cascaded convolution network, which comprises the steps of building a deep cascaded convolution network segmentation model; performing model training and parameter optimization; and carrying out fast localization and intratumoral segmentation on a multi-modal MRIbrain tumor. According to the MRI brain tumor localization and intratumoral segmentation method provided by the invention based on the deep cascaded convolution network, a deep cascaded hybrid neuralnetwork formed by a full convolution neural network and a classified convolution neural network is constructed, the segmentation process is divided into a complete tumor region localization phase andan intratumoral sub-region localization phase, and hierarchical MRI brain tumor fast and accurate localization and intratumoral sub-region segmentation are realized. Firstly, the complete tumor region is localized from an MRI image by adopting a full convolution network method, and then the complete tumor is further divided into an edema region, a non-enhanced tumor region, an enhanced tumor region and a necrosis region by adopting an image classification method, and accurate localization for the multi-modal MRI brain tumor and fast and accurate segmentation for the intratumoral sub-regions are realized.
Owner:CHONGQING NORMAL UNIVERSITY
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