Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part IX
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Sprache:Englisch
Fr. 135.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
02.10.2023
Abbildungen
XXXVIII, 743 p. 308 illus., 251 illus. in color.
Herausgeber
Hayit Greenspan + weitereVerlag
SpringerSeitenzahl
743
Maße (L/B/H)
23.5/15.5/4.2 cm
Gewicht
1165 g
Auflage
2023
Sprache
Englisch
ISBN
978-3-031-43995-7
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; clinicalapplications – 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.
"Semantic Segmentation of Surgical Hyperspectral Images Under Geometric Domain Shifts" is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.
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