Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with Miccai 2019, Shenzhen, China, October 13, 2019,
暫譯: 醫學影像中的機器學習：第十屆國際研討會，MLMI 2019，與MICCAI 2019共同舉辦，中國深圳，2019年10月13日

Suk, Heung-Il, Liu, Mingxia, Yan, Pingkun

Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with Miccai 2019, Shenzhen, China, October 13, 2019,
  • 出版商: Springer
  • 出版日期: 2019-10-10
  • 售價: $2,420
  • 貴賓價: 9.5 折 $2,299
  • 語言: 英文
  • 頁數: 695
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030326918
  • ISBN-13: 9783030326913
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

商品描述(中文翻譯)

本書為第十屆國際醫學影像機器學習研討會（MLMI 2019）的會議紀錄，該研討會於2019年10月在中國深圳與MICCAI 2019共同舉行。

本卷中所呈現的78篇論文經過仔細審查和選擇，來自158篇投稿。這些論文聚焦於該領域的主要趨勢和挑戰，旨在識別新興的尖端技術及其在醫學影像中的應用。所探討的主題包括：深度學習（deep learning）、生成對抗學習（generative adversarial learning）、集成學習（ensemble learning）、稀疏學習（sparse learning）、多任務學習（multi-task learning）、多視角學習（multi-view learning）、流形學習（manifold learning）和強化學習（reinforcement learning），以及它們在醫學影像分析、計算機輔助檢測與診斷、多模態融合、影像重建、影像檢索、細胞影像分析、分子影像、數位病理學等方面的應用。

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