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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Bibliographische Detailangaben
Körperschaft: International Conference on Medical Image Computing and Computer Assisted Intervention, Vancouver, British Columbia (VerfasserIn)
Weitere Verfasser: Greenspan, Hayit (HerausgeberIn) , Madabhushi, Anant (HerausgeberIn) , Mousavi, Parvin (HerausgeberIn) , Salcudean, Septimiu (HerausgeberIn) , Duncan, James (HerausgeberIn) , Syeda-Mahmood, Tanveer (HerausgeberIn) , Taylor, Russell (HerausgeberIn)
Dokumenttyp: Konferenzschrift
Sprache:Englisch
Veröffentlicht: Cham Springer [2023]
Schriftenreihe:Lecture notes in computer science 14228
In: Medical image computing and computer assisted intervention - MICCAI 2023

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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
Beschreibung
Zusammenfassung: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
Beschreibung:Literaturangaben
ISBN:9783031439957