Medical image computing and computer assisted intervention - MICCAI 2023 / Part 9
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023....
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| Weitere Verfasser: | , , , , , , |
| Dokumenttyp: | Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer
[2023]
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| Schriftenreihe: | Lecture notes in computer science
14228 |
| In: |
Medical image computing and computer assisted intervention - MICCAI 2023
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| Volumes / Articles: | Show Volumes / Articles. |
| Schlagworte: | |
| Online-Zugang: | Verlag, Cover: https://www.dietmardreier.de/annot/564C42696D677C7C393738333033313433393935377C7C434F50.jpg?sq=2 Inhaltsverzeichnis: https://www.gbv.de/dms/tib-ub-hannover/1861104995.pdf 
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| Verfasserangaben: | Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor, editors |
MARC
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| 245 | 1 | 0 | |a Medical image computing and computer assisted intervention - MICCAI 2023 |n Part 9 |c Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor, editors |
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| 505 | 8 | |a Image-guided intervention, surgical planning, and data science. | |
| 520 | |a The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning - transfer learning; Part II: Machine learning - learning strategies; machine learning - explainability, bias, and uncertainty; Part III: Machine learning - explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications - abdomen; clinical applications - breast; clinical applications - cardiac; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - musculoskeletal; clinical applications - oncology; clinical applications - ophthalmology; clinical applications - vascular; Part VIII: Clinical applications - neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration | ||
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