Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part I /
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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| Natura: | Elettronico eBook |
| Lingua: | inglese |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Edizione: | 1st ed. 2023. |
| Serie: | Lecture Notes in Computer Science,
14220 |
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| Accesso online: | https://doi.org/10.1007/978-3-031-43907-0 |
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| 245 | 1 | 0 | |a Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 |h [electronic resource] : |b 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part I / |c edited by Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor. |
| 250 | |a 1st ed. 2023. | ||
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| 490 | 1 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 14220 | |
| 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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| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 0 | |a Computer vision. | |
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| 650 | 0 | |a Education |x Data processing. | |
| 650 | 0 | |a Social sciences |x Data processing. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 1 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 | 2 | 4 | |a Computer and Information Systems Applications. |
| 650 | 2 | 4 | |a Machine Learning. |
| 650 | 2 | 4 | |a Computers and Education. |
| 650 | 2 | 4 | |a Computer Application in Social and Behavioral Sciences. |
| 650 | 2 | 4 | |a Biomedical Engineering and Bioengineering. |
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| 700 | 1 | |a Taylor, Russell. |e editor. |0 (orcid)0000-0001-6272-1100 |1 https://orcid.org/0000-0001-6272-1100 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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