月旦知識庫
 
  1. 熱門:
 
首頁 臺灣期刊   法律   公行政治   醫事相關   財經   社會學   教育   其他 大陸期刊   核心   重要期刊 DOI文章
台灣醫學 本站僅提供期刊文獻檢索。
  【月旦知識庫】是否收錄該篇全文,敬請【登入】查詢為準。
最新【購點活動】


篇名
深度學習在腦部影像的臨床應用
並列篇名
Clinical Application of Deep Learning for Brain Image
作者 蕭輔仁廖珩君廖俊智
中文摘要
人工智慧(artificial intelligence,AI)在醫療上的運用已然成為顯學,日常為病人服務過程中產生出的大量資料也成為科學家有興趣的目標。有了深度學習技術的加持後,醫學影像分析發生了驚人的進展。AI逐漸成為我們臨床工作的好夥伴,不久之後常規的胸部X光或腦部CT一做完,電腦馬上就可產生初步報告,就和現在的心電圖機一樣。腦部影像中比較常被使用到的就是CT和MRI:已經有很多人成功的利用深度學習在CT上偵測出腦中風及各種外傷性病灶;腦部MRI的應用則更加廣泛,電腦可以在影像中自動偵測腦瘤、血管病灶、退化性病灶,劃出它們的輪廓甚至做出診斷、嚴重度分級、產生報告。更進一步的,AI也可以產生虛擬的CT或MRI,運用在臨床的教育訓練上。做為一個AI時代的醫療人員,除了初步瞭解人工智慧、深度學習這些技術到底是什麼之外,我們更應該知道目前這些技術能夠做到什麼,進一步發想出未來可能的臨床應用。
英文摘要
In recent years, artificial intelligence have revolutionized the medical profession. Data generated from daily diagnostic and treatment processes are considered “gold mines” from which valuable information and knowledge can be extracted. With the aid of deep learning, the process of medical image analysis has undergone revolutionary changes. Some experts even predict that human radiologists and pathologists will be replaced by machines within years. Although such change may occur within decades instead of years, artificial intelligence (AI) has already been an integral part of medical service. Real-time computer-generated reports are already provided on modern electrocardiography machines. Similar computer-aided diagnosis may be implemented on X-ray or computed tomography (CT) machines in the near future. CT and magnetic resonance imaging (MRI) are the two most widely used diagnostic equipments for brain diseases. Many researchers have successfully detected stroke and traumatic lesions on CT images using AI techniques. On MRI images, a wider range pathologies including tumors, vascular lesions and degenerative lesions can be decected. Based on these algorithms, it is possible to develop systems of computer-aided lesion segmentation ((or other words more ‘friendly' to medical professionals, such as still use detection or edge detection?)), volumetry, grading and report generation. Furthermore, AI can be used to generate images of given disease type appearing at any location, providing materials for clinical training. The technical details of deep learing or AI is beyond the scope of this article. However, as we have entered the era of AI, knowing current medical applications and its potentials will open a new avenue for “non-conventional” solutions to unsolved problems.
起訖頁 50-57
關鍵詞 深度學習腦部影像放射手術deep learningbrain imageradiosurgery
刊名 台灣醫學  
期數 202001 (24:1期)
出版單位 臺灣醫學會
該期刊-上一篇 醫學影像分析中的人工智慧、擴增智慧與人類智慧
該期刊-下一篇 人工智慧應用於ICD-10疾病分類
 

新書閱讀



最新影音


優惠活動




讀者服務專線:+886-2-23756688 傳真:+886-2-23318496
地址:臺北市館前路28 號 7 樓 客服信箱
Copyright © 元照出版 All rights reserved. 版權所有,禁止轉貼節錄