Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation : MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / edited by Jun Ma, Bo Wang.

Format:

Book

Contributor:

Ma, Jun, editor.

Wang, Bo, 1967- editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13816

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 (338 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

Summary:

This book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022. The 28 full papers presented in this book were carefully reviewed and selected from 48 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 index.

Other Format:

Print version: Ma, Jun Fast and Low-Resource Semi-Supervised Abdominal Organ Segmentation

ISBN:

9783031239113

3031239113