| 書(shū)目名稱(chēng) | Medical Image Understanding and Analysis | | 副標(biāo)題 | 26th Annual Conferen | | 編輯 | Guang Yang,Angelica Aviles-Rivero,Carola-Bibiane S | | 視頻video | http://file.papertrans.cn/630/629284/629284.mp4 | | 叢書(shū)名稱(chēng) | Lecture Notes in Computer Science | | 圖書(shū)封面 |  | | 描述 | .This book constitutes the refereed proceedings of the 26th Conference on Medical Image Understanding and Analysis, MIUA 2022, held in Cambridge, UK, in July 2022. ..The 65 full papers presented were carefully reviewed and selected from 95 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging..Chapter “FCN-Transformer Feature Fusion for Polyp Segmentation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.. | | 出版日期 | Conference proceedings 2022 | | 關(guān)鍵詞 | artificial intelligence; classification methods; color image processing; computer networks; computer sys | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-12053-4 | | isbn_softcover | 978-3-031-12052-7 | | isbn_ebook | 978-3-031-12053-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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