http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2021154942-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0acc7fd312a68983fb8b9d120043467e |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-56358 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0051 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-5608 |
| classificationIPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-56 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-563 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-28 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055 |
| filingDate | 2021-01-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_27d4b521b0aa0bcd4447f6ada191a04d http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_87014b482320674090e6dd3008151de9 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_503ba76795d8bd97f978f19279ce166d http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c02d7d8ec5ed098199c57ad416299030 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3980cea35fa7311f627ecff64752e8db http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a4c70a50c100d19b1b379c5ba01d1884 |
| publicationDate | 2021-08-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | WO-2021154942-A1 |
| titleOfInvention | Systems, methods, and media for estimating a mechanical property based on a transformation of magnetic resonance elastography data using a trained artificial neural network |
| abstract | In accordance with some embodiments, systems, methods, and media for estimating a mechanical property based on a transformation of magnetic resonance elastography (MRE) data using a trained artificial neural network are provided. In some embodiments, a system is provided, the system comprising: a hardware processor programmed to: receive displacement data of tissue in vivo; provide the displacement data to a trained ANN that was trained using noisy input datasets as training data, and derivative datasets corresponding to the noisy input datasets to evaluate performance during training, such that the trained ANN provides an output dataset corresponding to an analytical solution to a derivative of a function represented in an unlabeled input dataset thereby transforming the unlabeled input dataset into its derivative; receive, from the trained ANN, an output dataset indicative of a derivative of the displacement data; and estimate stiffness of the tissue based on the derivative. |
| priorityDate | 2020-01-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 27.