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政大機構典藏 > 文學院 > 圖書資訊與檔案學研究所 > 國科會研究計畫 > Item 140.119/154167

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/154167

Title:	以深度學習多模影像建立超急性缺血性中風之診斷評估與預後 The Diagnosis, Severity Evaluation, and Prognosis of Hyperacute Ischemic Strokes Based on Deep Learning on Multi-Modality Images
Authors:	羅崇銘;謝立群
Contributors:	圖檔所
Keywords:	缺血性腦中風;無造影劑電腦斷層;磁振造影;電腦輔助診斷;深度學習 ischemic stroke;noncontrast-enhanced CT;MRI;computer-aided diagnosis;deep learning
Date:	2022-09
Issue Date:	2024-10-30 11:45:23 (UTC+8)
Abstract:	腦血管意外是十大死因的第三名，且逐漸有年輕化的趨勢，臨床的診斷與治療需建立在迅速的影像診斷之上，本計畫以量化影像特徵與深度學習分析無顯影劑電腦斷層與磁振造影影像，進行超急性缺血性中風的診斷、嚴重程度評估、預後，提高醫療品質以及醫療資訊的產業升級。
Relation:	科技部, MOST108-2221-E004-010-MY3, 108.08-111.07
Data Type:	report
Appears in Collections:	[圖書資訊與檔案學研究所] 國科會研究計畫

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