32results about How to "Efficient interpretation" patented technology

A multi-modality medical image display system, having a storage device that stores image attributes indicating attributes of an image, and information indicating a plurality of display layouts, each combination set in accordance with at least one of a first or second modality type, and corresponding to one of the plurality of display layouts. The system further includes a unit configured to select a combination of image attributes for the requested medical image information based on incidental information that is assigned to the requested medical image information. The system further includes a unit configured to compare the combination of image attributes of the requested medical image information with the combination of the image attributes and, based on the comparison, and to search the storage device and obtain therefrom one of the plurality of display layouts that corresponds with the combination of image attributes of the requested medical image information.

A method of maintaining a state in a subject includes measuring one or more physiological parameters of the subject, calculating, using the measured parameter(s), a value, determining if the calculated value is below a lower threshold or above an upper threshold, and generating an output to the subject if the calculated value is determined to be below the lower threshold or above the upper threshold. In one embodiment, the generating an output to the subject includes generating a first output if the calculated value is determined to be below the lower threshold and generating a second output if the calculated value is determined to be above the upper threshold, the second output being different from the first output.

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.

Provided is an image-display device and the like that can start reading an image soon after obtaining image data captured by a capsule-type endoscope. The image-display device comprises: an I / F unit (51) for receiving information input for the image-display device; a storage unit (55) for storing in-vivo image data and information related to the position of the capsule-type endoscope in a subject's body; an image processor (53) for processing images for the in-vivo image data; a position estimator (54) for estimating the position of the capsule-type endoscope when in-vivo images are captured on the basis of the position-related information; a process-setting unit (56) for setting the content of image processing and the position estimation level of position estimation processing on the basis of information received from an input receiver; a processing-time forecasting unit (57) for forecasting the processing time required for processing by the image processor and the position estimator on the basis of the content of image processing and the position estimation level set by the process-setting unit; and a display unit (60) for displaying the processing time forecasted by the processing-time forecasting unit.

Hardware and processes are provided for efficient interpretation of multi-value signals. The multi-value signals have a first voltage range with is used to indicate multiple numerical or logical values, and a second voltage range that is used to provide control functions. In one example, the multi-value circuitry is arranged as a set of rows and columns, which may be cascaded together. The control function can be implemented to cause portions of rows, columns, or cascaded connections to be powered off, thereby saving power and enabling more efficient operation.

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 three-dimensional region of interest (ROI) is established with a high degree of accuracy, by a simple method without increasing a burden on the operator, in generating a three-dimensional projected image from medical volume data according to rendering, achieving more efficient interpretation of three-dimensional image and streamlining of diagnostic flow, with the use of the diagnostic image generation apparatus. An energy map is generated on a predetermined tomographic plane, assuming a preset start point as a reference and searching for a path that minimizes the energy, and then the path is set as a boundary of the three-dimensional ROI. The start point may be decided on the basis of the boundary inputted by a user, or the user may set the start point. The user may be allowed to adjust the boundary having been set. The boundary may also be determined on another plane orthogonal to the predetermined tomographic plane.

The object detection method of optical remote sensing images based on Bayesian migration learning provided by the present invention uses the Fisher information matrix to represent the knowledge contained in the pre-trained target detector on the source data set, and uses the Fisher information matrix The information matrix constructs the objective function of the target detector. During the training process, this item will participate in the learning of the target detector on the target data set, so that it can retain the learned knowledge to a certain extent and improve the detection accuracy; Compared with other optical remote sensing image target detection algorithms, the present invention effectively improves the accuracy of optical remote sensing image target detection without introducing additional parameters to be learned; it can efficiently and accurately assist human interpretation and save manpower.

The present invention generally describes a method for classifying a line segment of a handwritten line into a reference feature set, wherein said handwritten line comprises one or several curves representing a plurality of symbols. First, sample data representing said handwritten line is received. Next, a sample line segment in said received sample data is identified by detecting a sample line segment start point (SLSSP) and a sample line segment end point (SLSEP). Then, a sample feature set of said identified sample line segment is determined. Finally, the determined sample feature set is matched to a reference feature set among a plurality of reference feature sets.