Data Engineering in Medical Imaging: Third Miccai Workshop, Demi 2025, Held in Conjunction with Miccai 2025, Daejeon, South Korea, September 27, 2025,
暫譯: 醫學影像中的數據工程:第三屆MICCAI研討會,2025年德米,與2025年MICCAI會議同時舉行,韓國大田,2025年9月27日
Bhattarai, Binod, Rau, Anita, Caramalau, Razvan
- 出版商: Springer
- 出版日期: 2025-10-12
- 售價: $4,530
- 貴賓價: 9.5 折 $4,304
- 語言: 英文
- 頁數: 257
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3032080088
- ISBN-13: 9783032080080
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相關分類:
Data-mining
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相關主題
商品描述
This book constitutes the proceedings of the Third MICCAI Workshop on Data Engineering in Medical Imaging, DEMI 2025, held in conjunction with the 28th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, in Daejeon, South Korea, on September 27, 2025.
The 24 full papers included in this book were carefully reviewed and selected from 33 submissions. These papers focus on the topic of data engineering in medical imaging and address open questions in the field. The workshop welcomes various approaches such as data and label augmentation, active learning and active synthesis, federated learning, multimodal learning, self-supervised learning, and large-scale data management and data quality assessment.
商品描述(中文翻譯)
本書為第三屆醫學影像數據工程研討會(DEMI 2025)的會議紀錄,該研討會與第28屆國際醫學影像計算與電腦輔助介入會議(MICCAI 2025)於2025年9月27日在南韓大田舉行。
本書收錄的24篇完整論文是從33篇投稿中經過仔細審查和選擇而來。這些論文專注於醫學影像中的數據工程主題,並探討該領域中的未解問題。研討會歡迎各種方法,如數據和標籤增強、主動學習和主動合成、聯邦學習、多模態學習、自我監督學習,以及大規模數據管理和數據質量評估。