Comprehensive Analysis and Computing of Real-World Medical Images : First MICCAI Challenge, CARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

Xiahai Zhuang

ISBN 10: 3031870085 / ISBN 13: 9783031870088

Verlag: Springer Nature Switzerland, Springer Nature Switzerland, 2025

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the First MICCAI Challenge, CARE 2024, Held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, during October 2024. The 23 full papers together included in this volume were carefully reviewed and selected from numerous submissions.Five tracks have been held in this challenge, including one comprehensive issue and four specific tracks with corresponding images and clinical problems:1. Transferring Foundation Models for Multi-center Real-World Medical Image Analysis (TFM4MedIA)2. Left Atrial and Scar Quantification & Segmentation (LAScarQS++)3. Liver Fibrosis Quantification and Analysis (LiQA)4. Myocardial Pathology Segmentation (MyoPS++).

Bestandsnummer des Verkäufers 9783031870088

Bibliografische Details

• Titel: Comprehensive Analysis and Computing of Real-World Medical Images : First MICCAI Challenge, CARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
• Verlag: Springer Nature Switzerland, Springer Nature Switzerland
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-10: 3031870085
• ISBN-13: 9783031870088
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 15 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 15 mm
• Gewicht: 411 Gramm

Über diesen Titel

Inhaltsangabe

This book constitutes the proceedings of the First MICCAI Challenge, CARE 2024, Held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, during October 2024. The 23 full papers together included in this volume were carefully reviewed and selected from numerous submissions. 

 

Five tracks have been held in this challenge, including one comprehensive issue and four specific tracks with corresponding images and clinical problems:

1.      Transferring Foundation Models for Multi-center Real-World Medical Image Analysis (TFM4MedIA)

2.      Left Atrial and Scar Quantification & Segmentation (LAScarQS++)

3.      Liver Fibrosis Quantification and Analysis (LiQA)

4.      Myocardial Pathology Segmentation (MyoPS++)

5.      Whole Heart Segmentation (WHS++)