Detecting and classifying medical images based on continuously-learning whole body landmarks detections
US-2019057501-A1 · Feb 21, 2019 · US
US11663232B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11663232-B2 |
| Application number | US-201917268742-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 21, 2019 |
| Priority date | Sep 6, 2018 |
| Publication date | May 30, 2023 |
| Grant date | May 30, 2023 |
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A data processing apparatus according to one or more embodiments may process metadata indicative of an attribute of real data input into an extract, transform, and load (ETL) tool external to the data processing apparatus. The real data and the metadata may each include an identification (ID). The data processing apparatus may include a memory and a processor. The memory may store a program. The processor may execute the program. The program may cause the processor to process the metadata to include the same ID as the real data output from the ETL tool.
Opening claim text (preview).
The invention claimed is: 1. A data processing apparatus comprising: a memory configured to store a program for processing metadata indicative of an attribute of real data input into an ETL tool external to the data processing apparatus, the ETL tool being an extract, transform, and load tool, the real data comprising a first identification identifying the real data and the metadata comprising a second identification identifying the metadata; and a processor configured with the program to perform operations comprising operation to process the metadata such that the second identification identifying the metadata comprises the same identification as an output identification identifying the real data output from the ETL tool. 2. The data processing apparatus according to claim 1 , wherein prior to processing in the ETL tool, the first identification identifying the real data and the second identification identifying the metadata each share a common identification, and the program causes the processor to perform operations comprising operation to change, in response to the first identification identifying the real data being changed by the ETL tool to the output identification different from the first identification, the second identification identifying the metadata to the output identification identifying the real data such that the real data and the metadata again share a common identification. 3. The data processing apparatus according to claim 2 , wherein in response to determining that real data is changed or likely to be changed but the first identification identifying in the real data is not changed by the ETL tool, and the program causes the processor to perform operations comprising operation to change the first identification identifying the real data before being input into the ETL tool and the second identification identifying the metadata to a new common identification. 4. The data processing apparatus according to claim 2 , wherein the real data comprises sensing data generated by a sensor. 5. The data processing apparatus according to claim 1 , wherein in response to determining that real data is changed or likely to be changed but the first identification identifying the real data is not changed by the ETL tool, and the program causes the processor to perform operations comprising operation to change the first identification identifying the real data before being input into the ETL tool and the second identification identifying the metadata to a new common identification. 6. The data processing apparatus according to claim 5 , wherein the real data comprises sensing data generated by a sensor. 7. The data processing apparatus according to claim 1 , wherein the real data comprises sensing data generated by a sensor. 8. A data processing method comprising: processing metadata indicative of an attribute of real data input into an ETL tool, the ETL tool being an extract, transform, and load tool, the real data comprising a first identification identifying the real data and the metadata comprising a second identification identifying the metadata; and processing the metadata such that the second identification identifying the metadata comprises the same identification as an output identification identifying the real data output from the ETL tool. 9. A non-transitory computer-readable storage medium storing a data processing program, which when read and executed, causes a processor to perform operations comprising: processing metadata indicative of an attribute of real data input into an ETL tool, the ETL tool being an extract, transform, and load tool, the real data comprising a first identification identifying the real data and the metadata comprising a second identification identifying the metadata; and processing the metadata such that the second identification identifying the metadata comprises the same identification as an output identification identifying the real data output from the ETL tool.
using data annotations, e.g. user-defined metadata · CPC title
Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses · CPC title
Data format conversion from or to a database · CPC title
Accessing, addressing or allocating within memory systems or architectures (digital input from, or digital output to record carriers, e.g. to disk storage units, G06F3/06) · CPC title
Presentation of query results · CPC title
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