1437results about How to "Choose accurately" patented technology

A recognition tool according to various examples of the invention intelligently recognizes natural input before it is passed to a destination or target application. More particularly, the recognition tool according to various examples of the invention provides better formatting for text recognized from natural input, based upon the context in which the text is being inserted into a target application. The recognition tool also provides various tools for correcting inaccurately recognized text. The recognition tool may allow a user to select only a part of an inaccurate text, and then identify alternate text candidates based upon the selected portion of the inaccurate text. Further, when the user selects text containing multiple words for correction, the recognition tool provides cross combinations of alternate text candidates for the user's selection. Still further, if the user replaces inaccurate text by submitting a new natural input object, the recognition tool ensures that the text recognized from the new natural input object is different from the inaccurate text been replaced. The recognition tool additionally affects the recognition experience after recognized text has been provided to the target application. The recognition tool provides the target application with the original natural input object for the recognized text, along with the alternate text candidates for that original natural input object. Thus, the target application can use the alternate text candidates to correct inaccurately recognized text. Further, a user can insert the original natural input object for recognized text within the target application.

A menu selection method, which includes selecting a main menu displayed on a touch device of a terminal, displaying one or more sub-menus corresponding to the selected main menu, sensing a direction of a dragging operation on the touch device, and executing a corresponding sub-menu located in the sensed direction of the dragging operation.

The invention provides a method for more effective treatment of patients susceptible to or diagnosed with tumors overexpressing HER2, as determined by a gene amplification assay, with a HER2 antibody. Such method comprises administering a cancer-treating dose of the HER2 antibody, preferably in addition to chemotherapeutic agents, to a subject in whose tumor cells her2 has been found to be amplified e.g., by fluorescent in situ hybridization.

The invention relates to a modified antibody which contains two or more H chain V regions and two or more L chain V regions of monoclonal antibody and can transduce a signal into cells by crosslinking a cell surface molecule(s) to thereby serve as an agonist. The modified antibody can be used as a signal transduction agonist and, therefore, useful as a preventive and / or remedy for various diseases such as cancer, inflammation, hormone disorders and blood diseases.

Systems and methods are disclosed for selecting target objects within digital images. In particular, in one or more embodiments, the disclosed systems and methods generate a trained neural network based on training digital images and training indicators. Moreover, one or more embodiments of the disclosed systems and methods utilize a trained neural network and iterative user indicators to select targeted objects in digital images. Specifically, the disclosed systems and methods can transform user indicators into distance maps that can be utilized in conjunction with color channels and a trained neural network to identify pixels that reflect the target object.

An electronic camera displays recorded information, such as image frames, to permit the selection of items of information to be transferred to external equipment. Each time an item of information is transferred, an informative indication (e.g., an icon) is displayed in association with the transferred item to confirm the transfer and to permit an operator to select items of recorded information that may be erased. If an error occurs during transfer of a series of items, the operator can determine from the display the point at which the error occurred, avoiding the need for transferring items that have already been transferred.

A spectrophotometric system for examination of biological tissue of interest includes a light source, a light coupling system, a light detector, and a processor. The light source is constructed and arranged to emit a light beam of visible or infra-red radiation. The light coupling system includes at least one mirror and is constructed and arranged to receive the emitted light beam and scan the light beam for introduction into the biological tissue of interest. The light detector is optically coupled to detect photons of radiation that have migrated over optical paths in the biological tissue of interest. The processor is operatively coupled to the light source and detector and is adapted to determine an optical property of the biological tissue of interest based on the changes between the introduced and detected radiation.

A question document is divided into predetermined areas, and it is judged whether each divided area is important, to thereby extract an important area. A reply example candidate likelihood value is calculated for each important area, the likelihood value indicating the degree representative of whether each reply example candidate corresponds to a question content. By using the reply example candidate likelihood value, important areas having similar meanings are combined to extract final important parts. A reply example candidate is selected for each important part from reply example candidates prepared beforehand. A reply example candidate reliability degree representative of certainty of each reply example candidate and a reply composition degree indicating whether it is necessary to compose a new reply are calculated, and by using these values, question documents are distributed to different operator terminals.