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.
| ISBN: | 9783031239106 |
| Publication date: | 21st January 2023 |
| Author: | Jun Ma |
| Publisher: | Springer International Publishing AG |
| Format: | Paperback |
| Pagination: | 328 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Surgery Image processing |
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.
Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation features in the following genres: Surgery, Image processing
Paperback. £58.49, down from the £64.99 cover price. Not Available.
Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation was written by Jun Ma and published by Springer International Publishing AG
Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation has 328 pages
Yes it is part of Lecture Notes in Computer Science series
£58.49, reduced from £64.99. Not Available.