Individual tooth segmentation in human teeth images using pseudo edge-region obtained by deep neural networks
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Seongeun | ko |
| dc.contributor.author | Lee, Chang-Ock | ko |
| dc.date.accessioned | 2023-12-29T03:01:33Z | - |
| dc.date.available | 2023-12-29T03:01:33Z | - |
| dc.date.created | 2023-12-25 | - |
| dc.date.issued | 2023-08-24 | - |
| dc.identifier.citation | 10th International Congress on Industrial and Applied Mathematics, ICIAM 2023 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/317102 | - |
| dc.language | English | - |
| dc.publisher | Japan Society for Industrial and Applied Mathematics | - |
| dc.title | Individual tooth segmentation in human teeth images using pseudo edge-region obtained by deep neural networks | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 10th International Congress on Industrial and Applied Mathematics, ICIAM 2023 | - |
| dc.identifier.conferencecountry | JA | - |
| dc.identifier.conferencelocation | Waseda University | - |
| dc.contributor.localauthor | Lee, Chang-Ock | - |
| dc.contributor.nonIdAuthor | Kim, Seongeun | - |
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