Multi-class Segmentation of the Aorta: AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings - Couverture souple
Synopsis
This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024.
The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA).
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Multi-class Segmentation of the Aorta (Paperback)
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Springer Nature Switzerland AG, Cham, 2026
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ISBN 13 : 9783032142450
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Paperback. Etat : new. Paperback. This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024. The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA). This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783032142450
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Multi-class Segmentation of the Aorta: AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings (Lecture Notes in Computer Science)
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Multi-class Segmentation of the Aorta
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Springer, Berlin, Springer, 2026
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ISBN 13 : 9783032142450
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024.The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA). 123 pp. Englisch. N° de réf. du vendeur 9783032142450
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Multi-class Segmentation of the Aorta: First MICCAI Challenge, AortaSeg 2024, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, . (Lecture Notes in Computer Science, 16399)
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Multi-class Segmentation of the Aorta: First MICCAI Challenge, AortaSeg 2024, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, . (Lecture Notes in Computer Science, 16399)
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Multi-class Segmentation of the Aorta: AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings (Lecture Notes in Computer Science, 16399)
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Multi-class Segmentation of the Aorta: First MICCAI Challenge, AortaSeg 2024, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, . (Lecture Notes in Computer Science, 16399)
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Multi-class Segmentation of the Aorta (Paperback)
Edité par
Springer Nature Switzerland AG, Cham, 2026
ISBN 10 : 3032142458
ISBN 13 : 9783032142450
Neuf
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Paperback. Etat : new. Paperback. This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024. The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783032142450
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Multi-class Segmentation of the Aorta
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Springer, Springer Jan 2026, 2026
ISBN 10 : 3032142458
ISBN 13 : 9783032142450
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024.The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch. N° de réf. du vendeur 9783032142450
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Multi-class Segmentation of the Aorta : AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings
Edité par
Springer, Springer International Publishing, 2026
ISBN 10 : 3032142458
ISBN 13 : 9783032142450
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024.The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA). N° de réf. du vendeur 9783032142450
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