A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
出版年份 2020 全文链接
标题
A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 10, Issue 2, Pages 559
出版商
MDPI AG
发表日期
2020-01-13
DOI
10.3390/app10020559
参考文献
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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。- BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks
- (2019) Jingfan Fan et al. MEDICAL IMAGE ANALYSIS
- How far have we come? Artificial intelligence for chest radiograph interpretation
- (2019) K. Kallianos et al. CLINICAL RADIOLOGY
- Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network
- (2019) Qin Wang et al. JOURNAL OF DIGITAL IMAGING
- Causability and explainabilty of artificial intelligence in medicine
- (2019) Andreas Holzinger et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- A transfer learning method with deep residual network for pediatric pneumonia diagnosis
- (2019) Gaobo Liang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- A neuro-heuristic approach for recognition of lung diseases from X-ray images
- (2019) Qiao Ke et al. EXPERT SYSTEMS WITH APPLICATIONS
- Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
- (2019) F. Pasa et al. Scientific Reports
- Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey
- (2019) Norah Asiri et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks
- (2019) Johnatan Carvalho Souza et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database
- (2019) Ilyas Sirazitdinov et al. COMPUTERS & ELECTRICAL ENGINEERING
- Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies
- (2019) Nasrullah Nasrullah et al. SENSORS
- Multi-Scale Heterogeneous 3D CNN for False-Positive Reduction in Pulmonary Nodule Detection, Based on Chest CT Images
- (2019) Zhitao Xiao et al. Applied Sciences-Basel
- Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection
- (2019) Xuechen Li et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Identifying pneumonia in chest X-rays: A deep learning approach
- (2019) Amit Kumar Jaiswal et al. MEASUREMENT
- Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT
- (2019) Yutong Xie et al. MEDICAL IMAGE ANALYSIS
- Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography
- (2019) Thi Kieu Ho et al. Applied Sciences-Basel
- Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images
- (2019) Hamed Behzadi-khormouji et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
- (2018) Daniel S. Kermany et al. CELL
- Machine learning “red dot”: open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification
- (2018) E.J. Yates et al. CLINICAL RADIOLOGY
- Small lung nodules detection based on local variance analysis and probabilistic neural network
- (2018) Marcin Woźniak et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Survey on deep learning for radiotherapy
- (2018) Philippe Meyer et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification
- (2018) Na Liu et al. IEEE Access
- Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs
- (2018) Ju Gang Nam et al. RADIOLOGY
- Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs
- (2018) Yu Gu et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis
- (2018) Tao Zhou et al. HUMAN BRAIN MAPPING
- Lung nodule malignancy classification in chest computed tomography images using transfer learning and convolutional neural networks
- (2018) Raul Victor M. da Nóbrega et al. NEURAL COMPUTING & APPLICATIONS
- Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images
- (2018) Antonio Brunetti et al. NEUROCOMPUTING
- Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
- (2018) Pranav Rajpurkar et al. PLOS MEDICINE
- Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study
- (2018) Andrew G. Taylor et al. PLOS MEDICINE
- Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method
- (2018) Hwejin Jung et al. BMC MEDICAL IMAGING
- 3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT
- (2018) Aria Pezeshk et al. IEEE Journal of Biomedical and Health Informatics
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks
- (2017) Paras Lakhani et al. RADIOLOGY
- Advances in the causes and management of community acquired pneumonia in adults
- (2017) Richard G Wunderink et al. BMJ-British Medical Journal
- Advances in the causes and management of community acquired pneumonia in adults
- (2017) Richard G Wunderink et al. BMJ-British Medical Journal
- Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
- (2017) Benjamin Shickel et al. IEEE Journal of Biomedical and Health Informatics
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Literature Review and Survey of Childhood Pneumonia Etiology Studies: 2000–2010
- (2012) Zunera Gilani et al. CLINICAL INFECTIOUS DISEASES
- Pneumonia research to reduce childhood mortality in the developing world
- (2008) J. Anthony G. Scott et al. JOURNAL OF CLINICAL INVESTIGATION
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