Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation: MICCAI Challenge, FLARE 2024, Held...

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Jun Ma Bo Wang

Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation

MICCAI Challenge, FLARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October...

Jun Ma, Bo Wang

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English

Springer International Publishing AG
10 July 2025

Educational equipment & technology, computer-aided learning (CAL); Computing: general; Network hardware; Artificial intelligence; Image processing

Series: Lecture Notes in Computer Science

Summary
Details

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 scans Subtask 2: Abdominal CT organ segmentation on laptop Subtask 3: Unsupervised domain adaptation for abdominal organ segmentation in MRI Scans

Edited by: Jun Ma, Bo Wang
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Volume: 15717
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031962011
ISBN 10: 303196201X
Series: Lecture Notes in Computer Science
Pages: 270
Publication Date: 10 July 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active