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Titlebook: Computer-Aided Analysis of Gastrointestinal Videos; Jorge Bernal,Aymeric Histace Book 2021 Springer Nature Switzerland AG 2021 Computer Vi

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发表于 2025-3-21 19:00:34 | 显示全部楼层 |阅读模式
书目名称Computer-Aided Analysis of Gastrointestinal Videos
编辑Jorge Bernal,Aymeric Histace
视频video
概述Presents the first dedicated volume on computer-aided gastrointestinal video analysis.Provides insights from both technical and clinical domains, with a special focus on the clinical applicability of
图书封面Titlebook: Computer-Aided Analysis of Gastrointestinal Videos;  Jorge Bernal,Aymeric Histace Book 2021 Springer Nature Switzerland AG 2021 Computer Vi
描述This book opens with an introduction to the main purpose and tasks of the GIANA challenge, as well as a summary and an analysis of the results and performance obtained by the 20 participating teams. The early and accurate diagnosis of gastrointestinal diseases is critical for increasing the chances of patient survival, and efficient screening is vital for locating precursor lesions. Video colonoscopy and wireless capsule endoscopy (WCE) are the gold-standard tools for colon and intestinal tract screening, respectively. Yet these tools still present some drawbacks, such as lesion miss rate, lack of in vivo diagnosis capabilities, and perforation risk. To mitigate these, computer-aided detection/diagnosis systems can play a key role in assisting clinicians in the different stages of the exploration..This book presents the latest, state-of-the-art approaches in this field, and also tackles the clinical considerations required to efficiently deploy these systems in the exploration room. The coverage draws upon results from the Gastrointestinal Image Analysis (GIANA) Challenge, part of the EndoVis satellite events of the conferences MICCAI 2017 and 2018. Each method proposed to address
出版日期Book 2021
关键词Computer Vision; Colorectal Cancer; Videocolonoscopy; Wireless Capsule Endoscopy; Intestinal Pathologies
版次1
doihttps://doi.org/10.1007/978-3-030-64340-9
isbn_softcover978-3-030-64342-3
isbn_ebook978-3-030-64340-9
copyrightSpringer Nature Switzerland AG 2021
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https://doi.org/10.1007/978-90-6704-743-2 time dependencies than traditional RNNs and it is a convolutional variant of these LSTM models (Xingjian et al. .) that is used in this chapter. The latter can not only encode temporal features but can simultaneously incorporate spatial features into one single layer.
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Computer-Aided Analysis of Gastrointestinal Videos
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Computer-Aided Analysis of Gastrointestinal Videos978-3-030-64340-9
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https://doi.org/10.1007/978-3-030-64340-9Computer Vision; Colorectal Cancer; Videocolonoscopy; Wireless Capsule Endoscopy; Intestinal Pathologies
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978-3-030-64342-3Springer Nature Switzerland AG 2021
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