http://rdf.ncbi.nlm.nih.gov/pubchem/patent/RU-2685469-C1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_bd89f5703ce7b08c53ca4fb812949b20 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-107 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-107 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate | 2018-02-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2019-04-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7919501413bae876ae214a0c14edd8ba http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_af147c3acaf5640e4e6658a80af661cd |
| publicationDate | 2019-04-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | RU-2685469-C1 |
| titleOfInvention | Method for early automated remote diagnosis of skin melanoma |
| abstract | The invention relates to medicine, namely to Oncology, and can be used to diagnose skin melanoma. A method of early automated remote diagnostics of melanoma of the skin is proposed. It consists in performing digital photographs, computerized mapping of the patient’s skin with a database of all the pigmented skin tumors detected, and foci suspected of melanoma are detected, characterized in that they analyze the initial images of suspicious skin areas, reduce images to a size of 512 × 512 pixels, conduct automatic diagnosis of melanoma on the original images of the site skin using a three-layer computer program such as “neural networks”, previously trained to distinguish skin melanoma based on reference images, including a pre-processor that automatically extracts the original images of essential features based on Fourier spectrum analysis, which allow to divide these images into two classes corresponding to the diagnosis of melanoma skin or lack thereof; using this computer program, each reference image of the training sample is assigned a neuron of the third layer; in the space of transformed images, neurons of the third layer estimate the Euclidean distance from each reference image of the training sample to the test image, while the resulting estimates are assigned a positive or negative sign depending on the class - the presence or absence of melanoma to which the reference image is assigned; among the 70 neurons of the first layer in each of the two classes, “winners” are identified by the minimum Euclidean distance from the reference image to the tested one; with the help of 20 neurons of the second layer, the inverse values of Euclidean distances taken with the corresponding sign are summed up in the groups of "winners" and, based on the comparison of the sum with the zero threshold value, the class of the test image corresponding to the diagnosis of skin melanoma or its absence is determined. The invention provides an increase in the probability of diagnosing melanoma of the skin, eliminating the dependence of its quality on the insufficient qualification of a specialist, automatic diagnosis mode, identifying high-risk groups of skin melanoma among the general population. 1 ill., 1 tab. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/RU-2785853-C1 |
| priorityDate | 2018-02-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 22.