http://rdf.ncbi.nlm.nih.gov/pubchem/patent/ES-2693369-T3
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_da36e254ce2f9e2d38814fd3f6a2d9c8 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30064 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-695 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate | 2014-04-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2018-12-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5309c955df6395fa46cc6d3c318d323d http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_634603bb404777873c68e4d3626b5d54 |
| publicationDate | 2018-12-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | ES-2693369-T3 |
| titleOfInvention | Method and system to determine a phenotype of a neoplasm in a human or animal body |
| abstract | Image analysis method that provides information to allow the determination of a phenotype of a neoplasm in a human or animal body to allow prognosis, comprising the steps of: receiving, by means of a processing unit, the data of the images of the neoplasm ; and obtaining, by the processing unit, a plurality of image feature parameter values from the image data, wherein the image feature parameter values are indicative of image feature parameters. the image features that can be obtained from the image features that are obtained from the image data and that are associated with the neoplasm; and obtaining, by said processing unit using a feature model, one or more neoplasm feature model values associated with the neoplasm from said image feature parameter values, wherein the feature model represents a combination of predetermined imaging features that enable specific phenotypes of neoplasms to be distinguished, and wherein said characteristic pattern includes a functional relationship between said imaging feature parameter values or characteristic values of said imaging feature parameter values. parameters of the characteristics of the images to obtain said values of the characteristic model of the neoplasm from the same; where the characteristic model is based on the parameters of the image characteristics from a group comprising: gray level non-uniformity, wavelet high-low-high gray level non-uniformity, energy statistics, and form compaction; where the gray level non-uniformity image feature parameter can be obtained by quantifying a texture heterogeneity of three-dimensional image data within a volume of the neoplasm, where the feature parameter The image of the wavelet high-low-high gray level non-uniformity can be obtained by performing a high-low-high filtered wavelet transform on three-dimensional imaging data within a volume of the neoplasm and by quantifying a texture heterogeneity of the transformed image data, where the shape compaction image feature parameter is representative of a degree to which the neoplasm is compacted, and where the feature parameter Image power statistics can be obtained by determining a total energy within a volume of the neoplasm and normalizing the total energy over the volu one-voxel menu. |
| priorityDate | 2013-04-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 22.