Produktnummer:
1876a72d99c6714fba86f41345e2fe399f
| Themengebiete: | Fair AI clinical procedures computational modeling data privacy inequality and fairness in medical image analysis medical imaging preoperative planning registration segmentation translational research |
|---|---|
| Veröffentlichungsdatum: | 10.10.2023 |
| EAN: | 9783031452482 |
| Sprache: | Englisch |
| Seitenzahl: | 314 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Baxter, John S. H. Chen, Yufei Cheplygina, Veronika Drechsler, Klaus Eagleson, Roy Erdt, Marius Feragen, Aasa Ferrante, Enzo Freiman, Moti Ganz-Benjaminsen, Melani Glocker, Ben King, Andrew P. Moyer, Daniel Oyarzun Laura, Cristina Petersen, Eikel Puyol Antón, Esther Rekik, Islem Wesarg, Stefan |
| Verlag: | Springer International Publishing |
| Untertitel: | 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings |
Produktinformationen "Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging"
This book constitutes the refereed proceedings of the 12th International Workshop on Clinical Image-Based Procedures, CLIP 2023, the First MICCAI Workshop on Fairness of AI in Medical Imaging, FAIMI 2023, and the Second MICCAI Workshop on the Ethical and Philosophical Issues in Medical Imaging, EPIMI 2023, held in conjunction with MICCAI 2023, in October 2023.CLIP 2023 accepted 5 full papers and 3 short papers form 8 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice.For FAIMI 2023, 19 full papers have been accepted from 20 submissions. They focus on creating awareness about potential fairness issues that can emerge in the context of machine learning. And for EPIMI 2023, 2 papers have been accepted from 5 submissions. They investigate questions that underlie medical imaging research at the most fundamental level.
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