| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c965b76827e500120c872ebf22a51655 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30016
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10088
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20128 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-149
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0014
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T17-00 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T17-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate |
2020-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7cf627bd93c5952c1c5fe73c28a3a20c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b1e5f46c9ac2131564795174d6acee40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0e09328a1a22630066ea2618209e785d |
| publicationDate |
2020-07-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2020219261-A1 |
| titleOfInvention |
Evaluating Quality of Segmentation of an Image into Different Types of Tissue for Planning Treatment Using Tumor Treating Fields (TTFields) |
| abstract |
To plan tumor treating fields (TTFields) therapy, a model of a patient's head is often used to determine where to position the transducer arrays during treatment, and the accuracy of this model depends in large part on an accurate segmentation of MRI images. The quality of a segmentation can be improved by presenting the segmentation to a previously-trained machine learning system. The machine learning system generates a quality score for the segmentation. Revisions to the segmentation are accepted, and the machine learning system scores the revised segmentation. The quality scores are used to determine which segmentation provides better results, optionally by running simulations for models that correspond to each segmentation for a plurality of different transducer array layouts. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11471676-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11654279-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11601067-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11191956-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11291837-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11395916-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3967365-A4
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11701161-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11573221-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11607543-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11577076-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11642514-B2 |
| priorityDate |
2019-01-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |