http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021208289-A1

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filingDate 2020-01-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_044dc9a9ffc40451074b6da76daec0fc
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publicationDate 2021-07-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2021208289-A1
titleOfInvention CNN-based Abnormality Score Map for SPECT Gamma Camera Flood Analysis
abstract A method for determining an abnormality score map for Single-photon Emission Computed Tomography (SPECT) gamma camera flood analysis includes extracting a plurality of image patches from an input flood image and generating a feature vector for each image patch. A per-patch abnormality score is generated for each feature vector by comparing the feature vector against a normal flood feature dictionary comprising one or more normal flood feature vectors generated using a plurality of normal flood images. Then, an abnormality score map may be generated to depict the per-patch abnormality scores for the input flood image.
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