http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3598474-A1

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filingDate 2018-07-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9fbdcf1f6fd633731741f46c914f2b4b
publicationDate 2020-01-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber EP-3598474-A1
titleOfInvention Adaptive specimen image acquisition using an artificial neural network
abstract Techniques for adapting an adaptive specimen image acquisition system using an artificial neural network (ANN) are disclosed. An adaptive specimen image acquisition system is configurable to scan a specimen to produce images of varying qualities. An adaptive specimen image acquisition system first scans a specimen to produce a low-quality image. An ANN identifies objects of interest within the specimen image. A scan mask indicates regions of the image corresponding to the objects of interest. The adaptive specimen image acquisition system scans only the regions of the image corresponding to the objects of interest, as indicated by the scan mask, to produce a high-quality image. The low-quality image and the high-quality image are merged in a final image. The final image shows the objects of interest at a higher quality, and the rest of the specimen at a lower quality.
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http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3948923-A4
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-4064323-A1
priorityDate 2018-07-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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Total number of triples: 32.