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

This book presents the proceedings of the MICCAI 2022 Challenge,FLARE 2022, which was held in Singapore on September 22, 2022. It includes 28 full papers on abdominal organ segmentation, with applications in clinical fields such as organ quantification, surgical planning, and disease diagnosis.

Format: Paperback / softback
Length: 328 pages
Publication date: 21 January 2023
Publisher: Springer International Publishing AG

This book serves as a valuable resource for researchers, practitioners, and students interested in the field of computer vision and medical imaging.
The 28 full papers presented in this book were carefully reviewed and selected from 48 submissions, making it a comprehensive and authoritative collection of research in the field of computer vision and medical imaging. The papers cover a wide range of topics, including abdominal organ segmentation, which has numerous important clinical applications such as organ quantification, surgical planning, and disease diagnosis.

Abdominal organ segmentation is a challenging task due to the complex anatomy and appearance of the organs. The papers in this book present innovative approaches and algorithms for segmenting abdominal organs, including deep learning techniques, convolutional neural networks, and active contour models. The authors demonstrate the effectiveness of their methods by applying them to medical images and achieving high accuracy and precision in segmenting the organs.

The book also includes several case studies and applications that demonstrate the practical relevance of abdominal organ segmentation. These case studies cover various medical imaging modalities, such as CT scans, MRI scans, and ultrasound images, and demonstrate how the proposed methods can be used to improve patient care and outcomes.

In conclusion, this book serves as a valuable resource for researchers, practitioners, and students interested in the field of computer vision and medical imaging. The papers presented in this book cover a wide range of topics and provide cutting-edge research and results that will contribute to the development of new technologies and techniques in this field.

Weight: 522g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031239106
Edition number: 1st ed. 2022