http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108596861-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f312cc7676e939dee48fb4fdfe921ce8 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30096 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-003 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-002 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 |
| filingDate | 2018-05-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a4b7b1e2a47c8049a1698a2428193af5 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6dc21ce9c4da6240395094ba83f77991 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0c36fd0b66e7beaf980c05cb87674af4 |
| publicationDate | 2018-09-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108596861-A |
| titleOfInvention | A Method for Removing Metal Artifacts from CT Images Based on Deep Residual Learning |
| abstract | A method for removing metal artifacts in CT images based on deep residual learning, comprising the following steps: S1, collecting CT images of target objects; S2, creating a data set of metal artifacts according to numerical simulation experiments; The obtained data set is divided into training set images and test set images; S4, constructing a deep residual learning network; S5, sending the training set images in step S3 to the deep residual learning network built in step S4 for training until the training ends , to obtain a trained residual model; S6, input each image in the test set image in step S3 to the residual model obtained in step S5, and obtain a residual image corresponding to each image; S7, The residual image obtained in step S6 is subtracted from each image in the test set of images in step S3 to obtain a result image with metal artifacts removed. This method is performed directly in the image domain, and can effectively remove metal artifacts in CT images without post-processing without the need for raw data. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3958742-A4 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023098136-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114242212-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109472754-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2020238817-A1 |
| priorityDate | 2018-05-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID482532689 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID23985 |
Total number of triples: 25.