Artificial intelligence for diagnosing knee ligament injuries
| dc.contributor.author | Nilsson, Alice | |
| dc.contributor.author | Söderholm, Linn | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
| dc.contributor.examiner | Kahl, Fredrik | |
| dc.date.accessioned | 2022-06-01T11:50:02Z | |
| dc.date.available | 2022-06-01T11:50:02Z | |
| dc.date.issued | 2022 | sv |
| dc.date.submitted | 2020 | |
| dc.identifier.coursecode | EENX30 | sv |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/304586 | |
| dc.language.iso | eng | sv |
| dc.setspec.uppsok | Technology | |
| dc.title | Artificial intelligence for diagnosing knee ligament injuries | sv |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.uppsok | H | |
| local.programme | Biomedical engineering (MPBME), MSc |
