The application of machine learning and deep learning radiomics in the treatment of esophageal cancer
The application of machine learning and deep learning radiomics in the treatment of esophageal cancer作者机构：Department of Radiotherapy CenterFirst Affiliated Hospital of Wenzhou Medical UniversityWenzhou 325000China Bionic Digital Platforms LaboratorySiberian State Medical University2c7 Moskovsky Trakt634050TomskRussia School of Basic Medical ScienceWenzhou Medical UniversityWenzhou 325000China
出 版 物：《Radiation Medicine and Protection》 (放射医学与防护（英文）)
年 卷 期：2023年第4卷第4期
页 面：182-189页
核心收录：
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
基 金：supported partially by Zhejiang Engineering Research Center for innovation and application of Intelligent Radiotherapy Technology,the Major project of Wenzhou Science and Technology Bureau(ZY2022016) Zhejiang Nature Science Foundation(Z24A050009),China
主 题：Esophageal cancer Radiomics Machine learning Deep learning
摘 要：Esophageal cancer(EC)is a very aggressive disease with most cases diagnosed at advanced *** detection and prognosis prediction are of clinical significance in the optimal management of *** and proteomic technologies demonstrated limited efficacy due to the invasive nature and the inherent tumor *** radiomics has achieved significant results in tumor characterization,treatment response and survival prediction for various *** this article,the current application of both machine learning and deep learning based radiomics in the diagnosis,prognostic prediction and treatment outcome prediction for patients with EC were *** current challenges and prospects for the future application of radiomics in EC were also discussed.
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