| 書目名稱 | Computer-Aided Analysis of Gastrointestinal Videos | | 編輯 | Jorge Bernal,Aymeric Histace | | 視頻video | http://file.papertrans.cn/235/234417/234417.mp4 | | 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 | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | Computer Vision; Colorectal Cancer; Videocolonoscopy; Wireless Capsule Endoscopy; Intestinal Pathologies | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-64340-9 | | isbn_softcover | 978-3-030-64342-3 | | isbn_ebook | 978-3-030-64340-9 | | copyright | Springer Nature Switzerland AG 2021 |
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