59 results about "Annotation database" patented technology

A system, method and program product for providing for the review of documents by a community of interest having a computer accessible database of documents, a computer accessible database of annotations for recording annotations of selected documents in the database of documents, and a publication/subscription (Pub/Sub) infrastructure for publishing selected documents in the database of documents and annotations thereof to subscribers of the selected documents. A registration process registers members of the community of interest who have authority to view selected documents of the database of documents, to view and modify annotations of the documents through the Pub/Sub infrastructure.

In response to a user request, an annotation form is presented to a user for annotating a target document or image in a database. The annotation form is associated with the target document. A runtime program is associated with the annotation form. The annotation form selected by the user provides prompts for annotation input. The annotation input is saved in an annotation database and the runtime program performs an action on behalf of the user. Preferably the runtime program action comprises analysis of elements of the target document.

A digital annotation-based visual recognition book pronunciation system and its method of operation are disclosed. In one embodiment, a mobile application program in the system extracts graphical feature points from a page image of a book captured by an integrated camera lens, transmits the graphical feature points to a digital annotation database executed in a cloud computing server, retrieves a book pronunciation content associated with the page image of the book, and superimposes an icon or a representation of the book pronunciation content on the page image of the book displayed as a real-time augmented application on the display panel of the mobile device. The system further includes the digital annotation database that stores relational data between the page image of the book and the book pronunciation content recited by a human narrator, and a related image analysis and matching program.

A system and method for transcoding digital content (e.g. web content) by correctly employing one annotation for multiple digital contents. This can efficiently reduce the workloads required for the addition of annotation data during the transcoding process. A transcoding system comprises an annotation database system for storing annotation data to be used for the transcoding of contents, and a transcoder for transcoding the contents based on annotation data stored in the annotation database system. Upon receiving an inquiry from the transcoder, a correlation between elements in the contents and descriptions of the annotation data is checked to select one annotation that can be employed for transcoding the content. The correlation is specifically determined based on XPath information.

A system for annotating genomic variant files includes an application server, an annotation database, a genomic database, and an annotation processing computer system. The genomic database may be graph-oriented. The annotation processing computer system processes can process variant files in batch modes and includes annotation modules designed to improve the speed of the annotation process. The batch modes may include batch transmission, and/or batch annotation.

The invention provides a digital pathological image annotation method and system. The method comprises the steps that a standard graphic annotation tool based on a pathological term base is adopted to annotate a to-be-annotated digital pathological image; format management is performed on pathological annotation information on the annotated digital pathological image based on an XML format; and the annotated digital pathological image is allocated to at least three persons for review, the annotated digital pathological image passing review is stored in an annotation database, and data in the annotation database is transmitted to a machine learning sample base for machine learning. A professional, normalized and systematic digital pathological image annotation solution is provided, a user can utilize various terminal devices to perform annotation, retrieval, uploading and downloading, annotation efficiency can be improved, and formation of a uniform and collaborative pathological image annotation mechanism is promoted.

A system for annotating genomic variant files includes an application server, an annotation database, a genomic database, and an annotation processing computer system. The genomic database may be graph-oriented. The annotation processing computer system processes can process variant files in batch modes and includes annotation modules designed to improve the speed of the annotation process. The batch modes may include batch transmission, and/or batch annotation.

System and methods for generating provider quality ratings are described. One exemplary method includes establishing, with a collection processor, a listing of locations containing user comments relating to a plurality of providers. The collection processor collects user comments relating to a provider from the listing of locations. The user comments are normalized and stored in a normalized user comment database. Next, a natural language processor analyzes the normalized user comments using sentiment analysis. A provider rating is determined from the sentiment analysis provider rating and transmitted to a display device.

The present application provides for techniques for implementing data auditing embodiments that determine whether a query into a database is or has referenced forbidden data within the database. Various techniques are given for efficiently finding all tuples in a database referenced by a given query. A set of sensitive data is determined within a database and the set of sensitive data is employed to define a forbidden view within the database. Data within the database may be annotated to provide efficient identification of data access by query. Incoming queries may be analyzed and modified to propagate annotations for analyzing what data is or was accessed.

The invention discloses an automatic selection method and system for labeling data, a device and a storage medium. The automatic selection method comprises the following steps: obtaining the data to be labeled; judging whether the data to be annotated is structured data or unstructured data; if the data is structured, obtaining a plurality of labeled data after the data to be labeled is labeled for many times; selecting the marked data with the largest number of repetitions among the marked data as the target marked data; if the data is unstructured, obtaining the annotated data after the datato be annotated; judging whether the annotated data has passed the audit according to the reference annotation database, and storing a plurality of reference annotation data in the reference annotation database; if approved, selecting the annotated data as the target annotation data. The invention adopts different ways to automatically select the labeled data conforming to the preset rules as thetarget labeling data according to the structured and unstructured data to be labeled, thus saving the cost and improving the efficiency and the quality.

The invention relates to an enhanced CT image rectal cancer staging auxiliary diagnosis system based on deep learning. The system comprises an enhanced CT image input module, an enhanced CT image and annotation database, an image preprocessing module, a rectal lesion area discrimination module, a lesion lymph recognition module, a focus feature extraction module, a comprehensive diagnosis module and a visualization module. Aiming at the problems that a rectum enhanced CT image is complex in data structure and difficult to distinguish cancerous areas and stages thereof, the rectum enhanced CT image rectal cancer data labeling and data set construction, rectal cancer lesion area discrimination based on a self-attention deep learning model and metastatic lymph node identification based on sequence adaptive feature fusion are researched. A rectal cancer staging intelligent auxiliary diagnosis system is designed and realized, and clinical application experiment verification is carried out, so that comprehensive data acquisition accuracy and efficiency before a rectal cancer operation are improved.

The invention provides an index structure of a genome function annotation database, a method for quickly annotating a genetic variation and a system. The index structure comprises a first-grade indexfile based on an annotation database, and a second-grade index file based on the first-grade index file. The first-grade index file comprises a plurality of file blocks. Each file block is composed ofa head and a body. The body is composed of a plurality of lines of compressed data. Each file block corresponds with one compressed block of the annotation database. The second-grade index file is composed of a plurality of lines of data. Each line of data store the position interval of the body data of one file block in the first-grade index file, and a 64-bit virtual file address which can directly address the file block. According to the annotation method, the file address of the data line with the result is found through scanning the two-grade index file, and the annotation database is positioned according to the file address for extracting annotation information and performing annotation on the genetic variation. Compared with direct scanning to the annotation database, the index structure has advantages of greatly reducing magnetic disk reading operations and improving searching speed.

The invention relates to a medical health data uploading management platform, which comprises a control processor, and a data source module, a project module, a code matching module and a data quality module which are connected with the control processor, and is characterized in that a historical database and an annotation database are arranged in the data source module; wherein a regional project list, a hospital data set, a data query module and a data analysis module are arranged in the project module, the code matching module enables the hospital data set in the project module to complete code matching work on a unified standardized platform, automatic matching is performed according to similarity, and a data report is convenient to upload; the data quality module is internally provided with a verification module, and the verification module is internally provided with a common verification logic function. The invention is for full-life-cycle management of data uploading, multiple core functions of data extraction, cleaning, dictionary transcoding, data quality verification, data uploading and the like are achieved, and full-life-cycle monitoring of the data is achieved through an elasticsearch log service in the full life cycle.