http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-1982295-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5a8d821d05ce6ef1e19615d65d337f24 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23213 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-763 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-52 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-52 |
| filingDate | 2007-02-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f3e733d374603d2794eeb8d384ecf057 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_32ea83351d808912dcc0085e5aac1d77 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fbd11c81655f1e1867dd2137e917b384 |
| publicationDate | 2008-10-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | EP-1982295-A1 |
| titleOfInvention | Breast tissue density measure |
| abstract | Mammogram images are processed by computer to derive automatically a value for a parameter useful in detecting differences in breast tissue in subsequent images of the same breast or relative to a control group of such images, said derived parameter being a parameter that changes alongside changes in breast density and is hence useful in assessing cancer risk. The method comprises the steps of processing each image of at least part of a breast by: computing for pixels of the image a quotient value representative of the aspect ratio of tissue structures depicted in the image; using a trained classifier to classify said pixels according to their respective said quotient values and assigning a score to the respective pixels representing their classification with respect to at least two classes; deriving said parameter that changes alongside changes in breast density based on the aggregate pixel membership scores of said classes. The classifier may be trained either by unsupervised learning or by supervised learning. |
| priorityDate | 2006-02-10-04:00^^<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/compound/CID68926 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID135908340 |
Total number of triples: 17.