首页> 外文OA文献 >Advanced analytics and artificial intelligence in gastrointestinal cancer: a systematic review of radiomics predicting response to treatment

【2h】

Advanced analytics and artificial intelligence in gastrointestinal cancer: a systematic review of radiomics predicting response to treatment

机译：胃肠癌中的先进分析和人工智能：对预测治疗反应的放射性族的系统综述

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Nina J. Wesdorp; Tessa Hellingman; Elise P. Jansma; Jan-Hein T. M. van Waesberghe; Ronald Boellaard; Cornelis J. A. Punt; Joost Huiskens; Geert Kazemier;
展开▼
作者单位

展开▼
年度 2020
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer [J] . Zheng-Yan Li, Mou Li, Xi-Jiao Liu, World Journal of Gastroenterology . 2020,第19期

机译：多模态辐射族模型预测局部晚期癌症的新辅助化疗治疗响应
2. Pathogenesis-based treatments in primary Sjogren's syndrome using artificial intelligence and advanced machine learning techniques: a systematic literature review [J] . Foulquier Nathan, Redou Pascal, Le Gal Christophe, Human vaccines & immunotherapeutics. . 2018,第11期

机译：使用人工智能和先进机器学习技术的原发性Sjogren综合征的发病机制治疗：系统文献综述
3. Smoking history as a predictive factor of treatment response in advanced non-small-cell lung cancer: A systematic review [J] . MitchellP., MokT., BarracloughH., Clinical lung cancer . 2012,第4期

机译：吸烟史作为晚期非小细胞肺癌治疗反应的预测因素：系统评价
4. Towards Breast Cancer Response Prediction using Artificial Intelligence and Radiomics [C] . Yassine Amkrane, Mohammed El Adoui, Mohammed Benjelloun International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications . 2020

机译：利用人工智能和辐射瘤研究乳腺癌反应预测
5. Predictive Biomarkers of the Efficacy of Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors in Treating Advanced Non-small Cell Lung Cancer: A Systematic Review of Randomized Controlled Trials [D] . Yang, Zuyao. 2014

机译：表皮生长因子受体酪氨酸激酶抑制剂治疗晚期非小细胞肺癌疗效的预测生物标志物：随机对照试验的系统评价。
6. Pathogenesis-based treatments in primary Sjogrens syndrome using artificial intelligence and advanced machine learning techniques: a systematic literature review [O] . Nathan Foulquier, Pascal Redou, Christophe Le Gal, 2018

机译：使用人工智能和先进的机器学习技术对原发性干燥综合征进行基于发病机制的治疗：系统的文献综述
7. From the Core to the Border of Locally Advanced Rectal Cancer: A Novel MRI-based Clinical-Radiomic Model Early Predicts Treatment Response [O] . Andrea Delli Pizzi, Antonio Chiarelli, Piero Chiacchiaretta, 2020

机译：从核心到局部晚期癌症的边界：一种新的MRI基临床辐射学模型早期预测治疗响应
8. Systematic Reviews on Selected Pharmacogenetic Tests for Cancer Treatment: CYP2D6 for Tamoxifen in Breast Cancer, KRAS for anti-EGFR antibodies in Colorectal Cancer, and BCR-ABL1 for Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia. Technology Assessment Report [R] . Terasawa, T., Dahabreh, I., Castaldi, P. J., 2010

机译：针对癌症治疗的选定药物遗传学测试的系统评价：CYp2D6用于乳腺癌中的他莫昔芬，KRas用于结肠直肠癌中的抗EGFR抗体，以及BCR-aBL1用于慢性髓性白血病中的酪氨酸激酶抑制剂。技术评估报告

Advanced analytics and artificial intelligence in gastrointestinal cancer: a systematic review of radiomics predicting response to treatment

著录项

引文网络

相似文献

相关主题

期刊订阅