Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a423b3896fb137308c231f90d9a6e6e0 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ef70b43d229e99fa27d7991a26b6add9 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30016 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10104 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-001 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-501 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-5258 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-037 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B6-5205 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B6-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B6-03 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 |
filingDate |
2020-05-22^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_34336e0abf609d8fc77a5e775a86b01e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d45a422fb04482d233fff94cdfb7ce50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8ede7b0403cf9686ebddc6b16da0bacb http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e615b4184c55e967dffef1add34ec391 |
publicationDate |
2021-12-01^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
KR-20210145003-A |
titleOfInvention |
Apparatus for restoring short scanning brain tomographic image using deep-learning |
abstract |
The present invention relates to an apparatus for restoring a brain tomography image taken for a short time using deep learning, and more particularly, the apparatus for restoring a brain tomography image taken for a short time using deep learning according to an aspect of the present invention, Loss image collecting unit that collects PET loss images including noise components obtained by tomography the brain for 1 hour An original image collection unit that collects the corresponding tomographic PET original images, a generator unit that removes noise components of the lost PET image to generate a plurality of similar PET images, and a plurality of similar PET images generated by the generator unit. A discriminator unit that compares the original PET images to determine whether the similar PET image belongs to an actual image classification corresponding to the original PET image or a false image classification that does not correspond to the original PET image; and a restored image output unit for generating and outputting a restored image based on the similar PET image determined to belong to the image classification. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102444082-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20220090993-A |
priorityDate |
2020-05-22^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |