Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation
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 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 328 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Ma, Jun Wang, Bo |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 21.01.2023 |
| Untertitel: | MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings |
| Schlagworte: | abdomen artificial intelligence bioinformatics computed tomography computer vision tasks computing methodologies machine learning medical image segmentation organ scene understanding |