30results about How to "Efficient interpretation" patented technology

According to the medical image display apparatus of an aspect of the present invention, the display mode to provide multi-screen display of the plurality of slice images including the abnormal shadow region is determined based on the result of acquisition of the abnormal shadow region (three-dimensional information for the abnormal shadow region), which eliminates the necessity for users (doctors) to perform an operation to set a display mode, and enables display of the plurality of slice images including the abnormal shadow region efficiently in a display mode enabling easy image interpretation.

A sequence of symbol operations (a “schedule representation”) within a data storage device, wherein the operations are those used to process encoding or decoding operations of a forward error correction code (an “FEC code”) upon an arbitrary block of data of a given size (where size can be measured in numbers of symbols). The method is such that the schedule representation can be used to direct the processing of these operations upon a block of data in a way that is computationally efficient. Preferably, the same method can be applied to represent schedules derived from multiple different algorithms for the encoding or decoding of a code or for multiple different codes.

A slice plane, oriented parallel to a viewing plane, is passed through a cuboidal dataset at regular intervals. The intersection of the slice plane with the cuboidal volume dataset results in primitives (quads, triangles, etc. depending on the angle and position of the intersection) whose vertices have position coordinates (x_u, y_u, z_u) and 3D-texture coordinates (r, s, t). The resulting primitives are rasterized using, for example, a traditional 3D graphics pipeline wherein the 3D-texture coordinates are interpolated across the scanlines producing 3D-texture coordinates for each fragment. The resulting 3D-texture coordinates for each fragment are stored in a 2D-texture storage area. These 2D-textures are called density-textures. By preprocessing the cuboidal dataset, the rendering process becomes a compositing process. A rendering process is comprised of looking-up, for each densel in the texture, the corresponding color and opacity values in the current lookup-table. A user-specified compositing function is used to blend the values with those in the framebuffer to arrive at the final result. The final result, i.e. the values in the framebuffer, is displayed.

Provided are a V2X communication method of a terminal in a wireless communication system and a terminal using the method. The method is characterized by: receiving at least one DCI of a first DCI based on a first TTI and a second DCI based on a second TTI, from a base station through a PDCCH; and, based on the at least one DCI, performing V2X communication by using one of the methods of transmission based on the first TTI and transmission based on the second TTI, wherein the first TTI is shorter than the second TTI, a first RNTI configured for the first DCI is different from a second RNTI configured for the second DCI, and which one between the first TTI-based transmission and the second TTI-based transmission is accepted is determined based on one of the first RNTI and the second RNTI.

The invention discloses a terahertz image information interpretation method, a network and a storage medium. The method comprises the following steps: obtaining a low-resolution terahertz image; carrying out super-resolution reconstruction on the obtained low-resolution terahertz image to obtain a super-resolution terahertz image; performing feature extraction on the low-resolution terahertz imageby using at least one convolution layer to obtain a low-resolution feature map; performing feature extraction on the super-resolution terahertz image by using at least one convolution layer to obtaina super-resolution feature map; carrying out feature level image fusion on the low-resolution feature map and the super-resolution feature map to obtain a feature fusion map; carrying out region proposal on the feature fusion image to obtain a candidate region; carrying out region pooling on the candidate region to obtain a region pooling result; and carrying out target detection and/or semanticsegmentation on the regional pooling result to complete information interpretation of the terahertz image. According to the invention, the information interpretation of the terahertz image can be completed with high efficiency and high quality.

An object of the present invention is to provide a defect inspection device, a defect inspection method, and a program that support an image interpreter so that image interpretation can be performed accurately and rapidly. A defect inspection device (10) includes an image acquisition unit, an image processing unit, a storage unit (24), a defect candidate classification unit that assigns a defect classification to an extracted defect candidate image on the basis of classification information stored in the storage unit (24), a display unit (18) that displays the received light image, a manipulation unit (14) that receives selection of a display or a non-display of an auxiliary indication indicating a position of the defect candidate image and the classification of the defect candidate image on the display unit (18), and outputs a command for the selected display or non-display of the auxiliary indication, and a display control unit that performs a display or a non-display of the auxiliary indication on the display unit (18) on the basis of the command output from the manipulation unit (14).

The invention provides a liver injury prediction method, which comprises the following steps: determining weights of chemical components of different drugs, inputting the chemical components of the different drugs and corresponding weights into a pre-trained liver injury prediction model to obtain a prediction result whether drug combination causes liver injury or not, and when metabolic reaction occurs in the drugs, determining the weight of the chemical components of the metabolite according to the chemical components of the metabolite so as to predict whether the metabolite causes liver injury or not. Thus, whether liver injury is caused by drug combination or not can be predicted with low cost and high reliability, reference can be provided for a wet experiment, and reference is further provided for clinical medication.

An embodiment of the invention discloses a detecting report generating method and device, equipment and a computer storage medium. The method comprises the steps of acquiring object information of a sample; acquiring information detected by a high-flux molecule of the sample, wherein the information detected by the high-flux molecule comprises microbe information; based on the microbe informationand interpreting information of microbe in an interpreting knowledge database, determining clinical interpreting information of the microbe in the sample; and based on the object information, the information detected by the high-flux molecule and the clinical interpreting information, generating the detecting report of the sample. Therefore, the information of the interpreting report of the information detected by the high-flux molecule is more comprehensive and standard. Furthermore the method improves interpreting efficiency of the information detected by the high-flux molecule, and preventsdefects of incomplete artificial detected information interpreting and overlong time consumption.

The invention provides a remote sensing intelligent interpretation method suitable for alpine and valley regions, which uses data of at least five wavebands and is classified based on a linear prediction function, the linear prediction function is combined with feature vectors, and the feature vectors are combined with weights to construct a prediction function; after the feature vector is found and the weight is initialized, calculating a weighted sum; the weighted sum is used as the input of an output function of a binary classifier, the input x is mapped to a value y by utilizing the output function of the binary classifier, a classification process is executed by using a hard limiting function, and a critical value is used when the classification process is executed; the critical value depends on the feature vector and the weight, selecting the maximum possible value of the weighted sum displayed by the object pixels, and comparing the weighted sum acquired by each pixel with the critical value, thereby completing classification.