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Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; 24th International C Marleen de Bruijne,Philippe C. Cattin,Caroli

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書目名稱Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
副標(biāo)題24th International C
編輯Marleen de Bruijne,Philippe C. Cattin,Caroline Ess
視頻videohttp://file.papertrans.cn/630/629208/629208.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; 24th International C Marleen de Bruijne,Philippe C. Cattin,Caroli
描述The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*.The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections:..Part I: image segmentation..Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning..Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty..Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality..Part V: computer aided diagnosis; i
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; bioinformatics; computer aided diagnosis; computer assisted interventions; comp
版次1
doihttps://doi.org/10.1007/978-3-030-87240-3
isbn_softcover978-3-030-87239-7
isbn_ebook978-3-030-87240-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2021978-3-030-87240-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Multiple Meta-model Quantifying for Medical Visual Question Answeringels which provide robust features for medical VQA tasks. Extensively experimental results on two public medical VQA datasets show that our approach achieves superior accuracy in comparison with other state-of-the-art methods, while does not require external data to train meta-models. Source code available at: ..
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