Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation : MICCAI Challenge, FLARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Book Details
Format
Paperback / Softback
Book Series
Lecture Notes in Computer Science
ISBN-10
303196201X
ISBN-13
9783031962011
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 10th, 2025
Print length
270 Pages
Product Classification:
Educational equipment & technology, computer-aided learning (CAL)Educational equipment and technology, computer-aided learning (CAL)Digital and Information technology: general topicsInformation technology: general issuesNetwork hardwareSoftware EngineeringArtificial intelligenceArtificial intelligence (AI)Image processing
Ksh 11,700.00
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font-family: 'Calibri',sans-serif;">Subtask 1: Pan-cancer segmentation in CT scansSubtask 2: Abdominal CT organ segmentation on laptopSubtask 3: Unsupervised domain adaptation for abdominal organ segmentation in MRI Scans
This book constitutes the proceedings of the MICCAI 2024 Challenge, FLARE 2024, held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, during October 2024. The 20 full papers included in this book were carefully reviewed and selected from 24 submissions. They describe the solutions the participants found for automatic abdominal organ and pan-cancer segmentation using the official training dataset released for this pupose. This challenge focuses on both organ and pan-cancer segmentation, including three subtasks:Subtask 1: Pan-cancer segmentation in CT scansSubtask 2: Abdominal CT organ segmentation on laptopSubtask 3: Unsupervised domain adaptation for abdominal organ segmentation in MRI Scans
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