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Machine learning of radiomics to predict biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis in MRI
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bo Kyoung Seo | - |
| dc.date.accessioned | 2021-08-27T10:56:46Z | - |
| dc.date.available | 2021-08-27T10:56:46Z | - |
| dc.date.created | 2021-04-22 | - |
| dc.date.issued | 2020-09-17 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/5632 | - |
| dc.publisher | Korean Congress of Radiology | - |
| dc.title | Machine learning of radiomics to predict biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis in MRI | - |
| dc.title.alternative | 영어 | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | Bo Kyoung Seo | - |
| dc.identifier.bibliographicCitation | Korean Congress of Radiology 2020 | - |
| dc.relation.isPartOf | Korean Congress of Radiology 2020 | - |
| dc.relation.isPartOf | Korean Congress of Radiology 2020 | - |
| dc.citation.title | Korean Congress of Radiology 2020 | - |
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferencePlace | 서울 | - |
| dc.citation.conferenceDate | 2020-09-17 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 1 | - |
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