| 书目名称 | Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data | | 副标题 | MICCAI 2020 Challeng | | 编辑 | Nadya Shusharina,Mattias P. Heinrich,Ruobing Huang | | 视频video | http://file.papertrans.cn/864/863805/863805.mp4 | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | This book constitutes three challenges that were held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020*: the Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images Challenge, the Learn2Reg Challenge, and the Thyroid Nodule Segmentation and Classification in Ultrasound Images Challenge..The 19 papers presented in this volume were carefully reviewed and selected form numerous submissions. The ABCs challenge aims to identify the best methods of segmenting brain structures that serve as barriers to the spread of brain cancers and structures to be spared from irradiation, for use in computer assisted target definition for glioma and radiotherapy plan optimization. The papers of the L2R challenge cover a wide spectrum of conventional and learning-based registration methods and often describe novel contributions. The main goal of the TN-SCUI challenge is tofind automatic algorithms to accurately segment and classify the thyroid nodules in ultrasound images...*The challenges took place virtually due to the COVID-19 pandemic.. | | 出版日期 | Conference proceedings 2021 | | 关键词 | artificial intelligence; automatic segmentations; bioinformatics; classification methods; computer visio | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-71827-5 | | isbn_softcover | 978-3-030-71826-8 | | isbn_ebook | 978-3-030-71827-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer Nature Switzerland AG 2021 |
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