| Home > Publications database > Potential and limitations of AI-based bone-segmentationin CT images using deep neural networks > print |
| 001 | 141389 | ||
| 005 | 20240229105125.0 | ||
| 037 | _ | _ | |a DKFZ-2018-01895 |
| 100 | 1 | _ | |a Muessemann, H |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Potential and limitations of AI-based bone-segmentationin CT images using deep neural networks |
| 260 | _ | _ | |c 2018 |
| 336 | 7 | _ | |a bachelorThesis |2 DRIVER |
| 336 | 7 | _ | |a Thesis |0 2 |2 EndNote |
| 336 | 7 | _ | |a Output Types/Supervised Student Publication |2 DataCite |
| 336 | 7 | _ | |a Bachelor Thesis |b bachelor |m bachelor |0 PUB:(DE-HGF)2 |s 1542785787_13986 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a MASTERSTHESIS |2 BibTeX |
| 336 | 7 | _ | |a SUPERVISED_STUDENT_PUBLICATION |2 ORCID |
| 502 | _ | _ | |a Bachelorarbeit, Duale Hochschule Baden-Wuerttemberg Karlsruhe, 2018 |c Duale Hochschule Baden-Wuerttemberg Karlsruhe |b Bachelorarbeit |g Fakultät Technik |
| 536 | _ | _ | |a 315 - Imaging and radiooncology (POF3-315) |0 G:(DE-HGF)POF3-315 |c POF3-315 |f POF III |x 0 |
| 909 | C | O | |o oai:inrepo02.dkfz.de:141389 |p VDB |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 0 |6 P:(DE-HGF)0 |
| 913 | 1 | _ | |a DE-HGF |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-315 |2 G:(DE-HGF)POF3-300 |v Imaging and radiooncology |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Gesundheit |
| 914 | 1 | _ | |y 2018 |
| 920 | 1 | _ | |0 I:(DE-He78)E040-20160331 |k E040 |l Medizinische Physik in der Strahlentherapie |x 0 |
| 980 | _ | _ | |a bachelor |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-He78)E040-20160331 |
| 980 | _ | _ | |a UNRESTRICTED |
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