| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0d00ffb0f63a6ac6ffb063a602a74888
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2ccadd5a706bdc1d60ac7caf34e127bf |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30056
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10132 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B8-14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B8-4245
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B8-5223
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B8-5207
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B8-085 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B8-14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B8-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B8-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30 |
| filingDate |
2020-11-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7912bd03f7b3731b63a6a27f5b6f619a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2e6793cfc6f39bfd507a0048cb6a2d16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_098278abb2ae13f5341ceaa255e00b45 |
| publicationDate |
2021-05-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2021153838-A1 |
| titleOfInvention |
Method and Apparatus of Intelligent Analysis for Liver Tumor |
| abstract |
A method of Intelligent Analysis is provided for liver tumor. It is a method using scanning acoustic tomography (SAT) with a deep learning algorithm for determining the risk of malignance for liver tumor. The method uses the abundant experiences of abdominal ultrasound specialists as a base to mark pixel areas of liver tumors in ultrasound images. The parameters and coefficients of empirical data are trained with the deep learning algorithm to establish a categorizer model reaching an accuracy rate up to 86 percent. Thus, with an SAT image, a help to doctor or ultrasound technician is obtained to determine the risk of malignance for liver tumor through the method, and to further provide a reference base for diagnosing liver tumor category. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11688517-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11688065-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11688063-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11694329-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114343607-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11436724-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11587236-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022138931-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116503672-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11749401-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022270254-A1 |
| priorityDate |
2019-11-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |