AI for Brain Lesion Detection and Trauma Video Action Recognition: First Bonbid-Hie Lesion Segmentation Challenge and First Trauma Thompson Challenge,
暫譯: 腦部病變檢測與創傷視頻行為識別的人工智慧:首次 Bonbid-Hie 病變分割挑戰與首次 Trauma Thompson 挑戰
Bao, Rina, Grant, Ellen, Kirkpatrick, Andrew
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商品描述
This book constitutes the proceedings of the First BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during October 2023.
For BONBID-HIE 2023 Challenge 6 papers have been accepted out of 14 submissions. They span a broad array of approaches leveraging anatomical information about HIE, data augmentation, training strategies, model architecture, and integration with traditional machine learning methods. For the TTC 2023 Trauma Thompson Challenge 4 accepted contributions are included in this book. They deal with advancements in machine learning methods and their practical applications in addressing small and diffuse lesions in HIE segmentation.
商品描述(中文翻譯)
本書為第一屆 BONBID-HIE 病灶分割挑戰賽及第一屆創傷湯普森挑戰賽的會議紀錄,這兩項挑戰賽於 2023 年 10 月在加拿大卑詩省溫哥華的 MICCAI 2023 會議期間舉行。
在 BONBID-HIE 2023 挑戰賽中,共有 14 篇投稿,接受了 6 篇論文。這些論文涵蓋了多種方法,利用有關缺血性腦病(HIE)的解剖資訊、數據增強、訓練策略、模型架構,以及與傳統機器學習方法的整合。至於 TTC 2023 創傷湯普森挑戰賽,本書中包含了 4 篇被接受的貢獻,這些貢獻涉及機器學習方法的進展及其在解決 HIE 分割中小型和擴散性病灶的實際應用。