The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Different Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review
出版年份 2019 全文链接
标题
The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Different Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review
作者
关键词
-
出版物
Diagnostics
Volume 9, Issue 4, Pages 207
出版商
MDPI AG
发表日期
2019-11-29
DOI
10.3390/diagnostics9040207
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Cancer statistics, 2019
- (2019) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks
- (2019) Yuya Onishi et al. Biomed Research International
- DeepLNAnno: a Web-Based Lung Nodules Annotating System for CT Images
- (2019) Sihang Chen et al. JOURNAL OF MEDICAL SYSTEMS
- Identification of pulmonary nodules via CT images with hierarchical fully convolutional networks
- (2019) Genlang Chen et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- A semi-supervised convolutional transfer neural network for 3D pulmonary nodules detection
- (2019) Mingzhe Liu et al. NEUROCOMPUTING
- Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network
- (2019) Chao Zhang et al. ONCOLOGIST
- Classification of Pulmonary CT Images by Using Hybrid 3D-Deep Convolutional Neural Network Architecture
- (2019) Huseyin Polat et al. Applied Sciences-Basel
- IILS: Intelligent imaging layout system for automatic imaging report standardization and intra-interdisciplinary clinical workflow optimization
- (2019) Yang Wang et al. EBioMedicine
- Classification of Carotid Artery Intima Media Thickness Ultrasound Images with Deep Learning
- (2019) Serkan Savaş et al. JOURNAL OF MEDICAL SYSTEMS
- Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network
- (2019) Fangzhou Liao et al. IEEE Transactions on Neural Networks and Learning Systems
- Hybrid-feature-guided lung nodule type classification on CT images
- (2018) Jingjing Yuan et al. COMPUTERS & GRAPHICS-UK
- Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images
- (2018) Anum Masood et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Multi-view multi-scale CNNs for lung nodule type classification from CT images
- (2018) Xinglong Liu et al. PATTERN RECOGNITION
- Added Value of Computer-aided CT Image Features for Early Lung Cancer Diagnosis with Small Pulmonary Nodules: A Matched Case-Control Study
- (2018) Peng Huang et al. RADIOLOGY
- 3D convolutional neural network for differentiating pre-invasive lesions from invasive adenocarcinomas appearing as ground-glass nodules with diameters ≤3 cm using HRCT
- (2018) Shengping Wang et al. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
- A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis
- (2018) Guifang Liu et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning
- (2018) Mizuho Nishio et al. PLoS One
- Multi-path convolutional neural network for lung cancer detection
- (2018) Worku Jifara Sori et al. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
- Evaluating the performance of a deep learning‐based computer‐aided diagnosis (DL‐CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists
- (2018) Li Li et al. Thoracic Cancer
- Optimal deep learning model for classification of lung cancer on CT images
- (2018) Lakshmanaprabu S.K. et al. Future Generation Computer Systems-The International Journal of eScience
- Pulmonary nodule diagnosis using dual-modal supervised autoencoder based on extreme learning machine
- (2017) Yan Qiang et al. EXPERT SYSTEMS
- Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs
- (2017) Nima Tajbakhsh et al. PATTERN RECOGNITION
- Towards automatic pulmonary nodule management in lung cancer screening with deep learning
- (2017) Francesco Ciompi et al. Scientific Reports
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
- (2016) Arnaud Arindra Adiyoso Setio et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box
- (2015) Francesco Ciompi et al. MEDICAL IMAGE ANALYSIS
- The Effect of Faster Reporting Speed for Imaging Studies on the Number of Misses and Interpretation Errors: A Pilot Study
- (2015) Evgeniya Sokolovskaya et al. Journal of the American College of Radiology
- Computed Tomographic Screening for Lung Cancer
- (2015) Erin A. Gillaspie et al. Thoracic Surgery Clinics
- NELSON lung cancer screening study
- (2012) Ying Ru Zhao et al. CANCER IMAGING
- Do Long Radiology Workdays Affect Nodule Detection in Dynamic CT Interpretation?
- (2012) Elizabeth A. Krupinski et al. Journal of the American College of Radiology
- Screening by Chest Radiograph and Lung Cancer Mortality
- (2011) Martin M. Oken et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
- (2011) Samuel G. Armato et al. MEDICAL PHYSICS
- A supervised ‘lesion-enhancement’ filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD)
- (2009) Kenji Suzuki PHYSICS IN MEDICINE AND BIOLOGY
- Computerized Lung Nodule Detection Using 3D Feature Extraction and Learning Based Algorithms
- (2008) Serhat Ozekes et al. JOURNAL OF MEDICAL SYSTEMS
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