http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-104537642-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-03
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24323
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
filingDate 2014-12-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2018-09-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2018-09-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-104537642-B
titleOfInvention A Tissue Classification Method for Malignant Glioblastoma Based on Nonnegative Matrix Factorization
abstract The invention discloses a malignant glioblastoma tissue classification method based on non-negative matrix decomposition, which analyzes nuclear magnetic resonance spectrum imaging data through signal processing technology, and then completes the tissue classification of brain glioblastoma. In the present invention, two NMF decompositions are performed on the MRSI data of the patient, thereby identifying and classifying the three tissue types of glioblastoma, normal, tumor and necrosis. Firstly, the NMF decomposition with the wave source number of 2 was performed on the MRSI data, and the wave source and spatial distribution h-map corresponding to normal tissue and abnormal tissue were obtained. Then determine the optimal mask and perform NMF decomposition with 2 wave sources on the mask again to obtain the corresponding wave sources of tumor tissue and necrotic tissue. Finally, NNLS is used to estimate the spatial distribution h-map corresponding to the three wave sources.
priorityDate 2014-12-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID457068667
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID2230

Total number of triples: 15.