| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_55e66a321c549deb54b66732f9f908f8 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1032
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-031
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4842
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-52
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7282
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-0005
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-000094
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0075
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B1-043 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-52
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| filingDate |
2016-05-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_afbb6629dd316458d1e6a94768466e7d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_782cdf3ba9af585ec751155ea78c887c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ac6902c6cf54f80fc8176c8706393285
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_167a5b3cd5933f722f8ce024220050aa
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8bad3652e9f6fae0cacd5688d4a51a70 |
| publicationDate |
2017-11-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2017319147-A1 |
| titleOfInvention |
Cancerous lesion identifying method via hyper-spectral imaging technique |
| abstract |
A cancerous lesion identifying method via hyper-spectral imaging technique comprises steps of: acquiring a plurality of first pathology images via an endoscopy, wherein the first pathology images are cancerous lesion images respectively; importing the first pathology images into an image processing module to acquire a plurality of first simulating spectra of the first pathology images so as to generate a principle component score diagram in accordance with the first simulating spectra; defining a plurality of triangle areas in the principle component score diagram in accordance with the first simulating spectra; determining whether a principle component score of a second simulating spectrum of a second pathology image is within any one of the triangle areas; and confirming the second pathology image belongs to one of the cancerous lesion images when the principle component score of the second simulating spectrum is within any one of the triangle areas. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021169336-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109528202-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2020175755-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11633149-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110415792-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111862090-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022180605-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2018024064-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11288863-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7142754-B1 |
| priorityDate |
2016-05-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |