What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images

Philbrick Kenneth A.; Yoshida Kotaro; Inoue Dai; Akkus Zeynettin; Kline Timothy L.; Weston Alexander D.; Korfiatis Panagiotis; Takahashi Naoki; Erickson Bradley J.

首页> 外文期刊>AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences >What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images

【24h】

What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images

机译：深度学习看到了什么？来自培训的分类器的见解，以预测CT图像的对比度增强阶段

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

OBJECTIVE. Deep learning has shown great promise for improving medical image classification tasks. However, knowing what aspects of an image the deep learning system uses or, in a manner of speaking, sees to make its prediction is difficult.

机译：客观的。深入学习对改善医学图像分类任务表示了很好的希望。然而，了解图像的图像的哪些方面是深度学习系统使用，或者以一种说话方式看到其预测是困难的。

著录项

来源
《AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences》 |2018年第6期|共10页
作者
Philbrick Kenneth A.; Yoshida Kotaro; Inoue Dai; Akkus Zeynettin; Kline Timothy L.; Weston Alexander D.; Korfiatis Panagiotis; Takahashi Naoki; Erickson Bradley J.;
展开▼
作者单位

Mayo Clin Dept Radiol Radiol Informat Lab 3507 17th Ave NW Rochester MN 55901 USA;

Mayo Clin Dept Radiol Radiol Informat Lab 3507 17th Ave NW Rochester MN 55901 USA;

Mayo Clin Dept Radiol Radiol Informat Lab 3507 17th Ave NW Rochester MN 55901 USA;

Mayo Clin Dept Radiol Radiol Informat Lab 3507 17th Ave NW Rochester MN 55901 USA;

Mayo Clin Dept Radiol Radiol Informat Lab 3507 17th Ave NW Rochester MN 55901 USA;

Mayo Clin Dept Radiol Radiol Informat Lab 3507 17th Ave NW Rochester MN 55901 USA;

Mayo Clin Dept Radiol Radiol Informat Lab 3507 17th Ave NW Rochester MN 55901 USA;

Mayo Clin Dept Radiol Radiol Informat Lab 3507 17th Ave NW Rochester MN 55901 USA;

Mayo Clin Dept Radiol Radiol Informat Lab 3507 17th Ave NW Rochester MN 55901 USA;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类放射医学;
关键词
class activation map (CAM); computer-aided diagnosis; contrast enhancement phase; convolutional neural network (CNN); CT; deep learning; gradient-weighted class activation map (Grad-CAM); guided backpropagation; machine learning; saliency activation map; saliency map;

机译：类激活地图（CAM）;计算机辅助诊断;对比度增强阶段;卷积神经网络（CNN）;CT;深度学习;梯度加权类激活图（GRAD-CAM）;引导备份;机器学习;持续激活地图;显着图;

相似文献

外文文献
中文文献
专利

1. What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images [J] . Philbrick Kenneth A., Yoshida Kotaro, Inoue Dai, AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences . 2018,第6期

机译：深度学习看到了什么？来自培训的分类器的见解，以预测CT图像的对比度增强阶段
2. A deep learning algorithm using contrast-enhanced computed tomography (CT) images for segmentation and rapid automatic detection of aortic dissection [J] . Cheng Junlong, Tian Shengwei, Yu Long, Biomedical signal processing and control . 2020,第Sepa期

机译：一种使用对比度增强的计算机断层扫描（CT）图像进行分段和快速自动检测主动脉夹层的深度学习算法
3. A study of using a deep learning image reconstruction to improve the image quality of extremely low-dose contrast-enhanced abdominal CT for patients with hepatic lesions [J] . Cao Le, Liu Xiang, Li Jianying, British Journal of Radiology . 2021,第1118期

机译：利用深层学习图像重建改善肝病变患者极低剂量对比增强腹部CT的图像质量
4. Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images [C] . Yusuke YOSHINOBU, Yutaro IWAMOTO, Xianhua HAN, IEEE International Conference on Consumer Electronics . 2020

机译：使用多相对比度增强计算机断层扫描图像的基于内容的局灶性肝病灶的深度学习方法
5. Enhancing reflection and deep learning through ePortfolios: Analysis of eight Ottawa-area personal trainers' perceptions on ePortfolios in a Kinesiology setting. [D] . Kamping, Tyanne. 2014

机译：通过ePortfolios增强思考和深度学习：在运动学领域分析八位渥太华地区私人教练对ePortfolios的看法。
6. Detection of Hepatocellular Carcinoma in Contrast-Enhanced Magnetic Resonance Imaging Using Deep Learning Classifier: A Multi-Center Retrospective Study [O] . Junmo Kim, Ji Hye Min, Seon Kyoung Kim, -1

机译：深度学习分类器在磁共振增强成像中检测肝细胞癌：多中心回顾性研究
7. MODERATED EPOSTERS1385Longitudinal strain assessment in dilated cardiomyopathy patients using a novel accelerated DENSE sequence1407Simultaneous T1 and T2 cardiac quantification with CABIRIA: initial clinical experience1423Head-to-head comparison of acceleration algorithms in 4-dimensional flow CMR1502Left ventricular function and size evaluated by hybrid cardiac positron emission tomography-magnetic resonance: Intraindividual comparison of left ventricular ejection fraction and ventricular volumes derived by two modalities1510Left Atrium assessed by Cardiovascular Magnetic Resonance at 1.5 and 3 Tesla – age and gender effects1514Comparison of Free Breathing Cardiac MRI Radial technique to the Standard Multi breath-hold cine SSFP CMR technique for the assessment of LV Volumes and Function1536Self-navigated free-breathing isotropic 3D whole heart phase sensitive inversion recovery magnetic resonance without navigator for detection of myocardial infarction1547Assessment of Right Ventricular Strain Using Myocardial Deformation Recovery Semi Automated Technique: Initial Experience and Normal Values1586Tissue tracking myocardial deformation analysis and prediction of left ventricular remodeling in acute myocardial infarction1589Investigating strategies for optimal 31P MRS clinical cardiac at 3T: Initial Results1620Quantitative Criteria for the Diagnosis of the Congenital Absence of Pericardium by Cardiac Magnetic Resonance1632Widespread tissue injury during acute myocardial infarction: evidence from advanced CMR relaxometry1322Computed tomography coronary angiography verSus sTRess cArdiac magneTic rEsonance for the manaGement of sYmptomatic revascularized patients: a cost effectiveness study (STRATEGY study)1339Comparison of low- versus high-dose of gadobutrol for late gadolinium enhancement imaging at 1.5 Tesla: a clinical feasibility study1347Multi-parametric Cardiac Magnetic Resonance for Prediction of Cardiac Complications in Thalassemia Intermedia: a Prospective Multicenter Study1461Prognostic value of Cardiovascular Magnetic Resonance derived indexes of myocardial fibrosis in heart transplant recipients1523The role of CMR in the acute phase of hospitalization: changing paradigms1542Preoperative CMR-based score predict ventricular response after surgical left ventricular reconstruction in ischemic heart failure patients1555Excellent response rate to cardiac resynchronization therapy guided with magnetic resonance imaging1626The ECG as a predictor of arrhythmogenic substrate on Cardiac Magnetic Resonance Imaging in patients undergoing ablation for premature ventricular contractions1649Comparison of T1-mapping at 3.0T CMR and angiographic APPROACH score for area at risk assessment in ST-segment elevation myocardial infarction1340Pathological correlates of left bundle branch disease in patients with non-ischemic cardiomyopathy: a cardiovascular magnetic resonance study1342Myocardial remodelling and fibrosis in nonischaemic dilated cardiomyopathy: insights from cardiovascular magnetic resonance1411The association between fibrosis and contractile dysfunction in hypertrophic cardiomyopathy assessed by cardiovascular magnetic resonance1622Persistent myocardial inflammation due to intramyocardial haemorrhage in reperfused STEMI as a precursor to adverse LV remodelling - insights from multi-parametric mapping1566Semiquantitative analysis of low and high b value DWI for detecting myocardial edema in acute myocarditis1567Value of Cardiac MRI In Detecting Coronary Artery Disease In Newly Diagnosed Systolic Dysfunction1570Usefulness of cardiac magnetic resonance in tuberous sclerosis complex1578Papillary muscles offer further insight into hypertrophied hearts: a cardiovascular magnetic resonance study1627Diagnostic and clinical implications of CMR timing (early versus late) in patients with troponin positive acute coronary syndromes and unobstructed coronary arteries: Table 1. [O] . Upasana Tayal, Alexandros Kallifatidis, P. Garg, 2016

机译：在使用新的扩张型心肌病的患者缓和EPOSTERS1385Longitudinal应变评估加速DENSE sequence1407Simultaneous T1和T2与CABIRIA心脏定量：在4维流动的加速算法初始临床experience1423Head对头比较CMR1502Left心室功能和尺寸由混合心脏正电子发射断层摄影术评价 - 磁性共振：由两个modalities1510Left庭派生左室射血分数和心室体积的个体间的比较，在1.5和3特斯拉评估心血管磁共振 - 免费的年龄和性别effects1514Comparison呼吸心脏MRI径向技术标准的多屏气电影SSFP CMR技术的LV卷和Function1536Self-导航自由呼吸各向同性3D整个心脏相位敏感反转恢复磁共振导航仪没有检测右Ventricu心肌infarction1547Assessment的评估拉尔菌株使用心肌变形恢复半自动技术：初步经验和正常Values1586Tissue跟踪心肌变形分析和预测左室重构急性心肌infarction1589Investigating策略优化31P MRS临床心脏在3T：初始Results1620Quantitative标准的先天缺失的诊断心包心脏磁Resonance1632Widespread组织损伤急性心肌梗死时：证据先进CMR relaxometry1322Computed CT冠状动脉成像与压力心脏磁共振对症的管理吻合血管患者：成本效益研究（战略研究）1339Comparison低与高剂量钆布醇在1.5特斯拉晚钆增强成像的临床可行性，在中间型地贫心脏并发症的预测study1347Multi参数心脏核磁共振的前瞻性德穆尔心血管磁共振的ticenter Study1461Prognostic价值衍生心肌纤维化指标在住院的急性期CMR的心脏移植recipients1523The作用：改变基于CMR-paradigms1542Preoperative比分预测缺血性心脏衰竭patients1555Excellent响应速度外科左心室重建心脏再同步化后心室反应治疗与磁共振imaging1626The ECG导引作为心脏磁共振成像致心律失常性基板的在ST段抬高心肌infarction1340Pathological在风险评估经历在3.0T CMR T1映射的室性早搏contractions1649Comparison和血管造影APPROACH分数区域消融患者的预测左束支传导疾病的患者与非缺血性心肌病相关因素：心血管磁共振study1342Myocardial重塑和纤维化nonischaemic扩张型心肌病：在从在由心血管磁性resonance1622Persistent心肌炎症评估肥厚型心肌病的纤维化和收缩功能障碍之间心血管磁性resonance1411The协会由于心肌内出血景点在再灌注STEMI为先导，以不利的LV重塑 - 从低的多参数mapping1566Semiquantitative分析和高的b值DWI的见解为在心脏MRI检测冠状动脉疾病急性myocarditis1567Value在结节性硬化症complex1578Papillary肌肉初诊收缩期Dysfunction1570Usefulness心脏磁共振检测心肌水肿提供进一步的深入了解肥大心脏：心血管磁共振study1627Diagnostic和CMR定时的临床意义（早期与晚）患者肌钙蛋白阳性的急性冠脉综合征和通畅的冠状动脉：表1。

What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images

摘要

著录项

相似文献

相关主题

期刊订阅