Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT : MICCAI Challenge, FLARE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / edited by Jun Ma, Bo Wang.

Format:

Book

Contributor:

Ma, Jun, editor.

Wang, Bo, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 14544

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

Computer vision.

Artificial intelligence.

Computer networks.

Application software.

Education--Data processing.

Education.

Software engineering.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer Communication Networks.

Computer and Information Systems Applications.

Computers and Education.

Software Engineering.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer Communication Networks.

Computer and Information Systems Applications.

Computers and Education.

Software Engineering.

Physical Description:

1 online resource (373 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This book constitutes the proceedings of the MICCAI 2023 Challenge, FLARE 2023, held in Conjunction with MICCAI 2023, in Vancouver, BC, Canada, on October 8, 2023. The 27 full papers presented in this book were carefully reviewed and selected from 37 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.

Notes:

Includes bibliographical references and index.

ISBN:

3-031-58776-6