OR 2.0 context-aware operating theat...
OR 2.0 (Workshop) (2019 :)

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  • OR 2.0 context-aware operating theaters and machine learning in clinical Neuroimaging = second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: OR 2.0 context-aware operating theaters and machine learning in clinical Neuroimaging/ edited by Luping Zhou ... [et al.].
    其他題名: second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019 : proceedings /
    其他題名: OR 2.0 2019
    其他作者: Zhou, Luping.
    團體作者: OR 2.0 (Workshop)
    出版者: Cham :Springer International Publishing : : 2019.,
    面頁冊數: xvi, 114 p. :ill. (some col.), digital ;24 cm.
    內容註: Proceedings of the Second International Workshop on OR 2.0 Context-Aware Operating Theaters (OR 2.0 2019) -- Feature Aggregation Decoder for Segmenting Laparoscopic Scenes -- Preoperative Planning for Guidewires employing Shape-Regularized Segmentation and Optimized Trajectories -- Guided unsupervised desmoking of laparoscopic images using Cycle-Desmoke -- Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration -- Live monitoring of hemodynamic changes with multispectral image analysis -- Towards a Cyber-Physical Systems Based Operating Room of the Future -- Proceedings of the Second International Workshop on Machine Learning in Clinical Neuroimaging: Entering the era of big data via transfer learning and data harmonization (MLCN 2019) -- Deep Transfer Learning For Whole-Brain FMRI Analyses -- Knowledge distillation for semi-supervised domain adaptation -- Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors -- Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation -- A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study -- Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites.
    Contained By: Springer eBooks
    標題: Computer-assisted surgery - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-030-32695-1
    ISBN: 9783030326951
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