Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review
出版年份 2022 全文链接
标题
Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review
作者
关键词
-
出版物
PEDIATRIC RADIOLOGY
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-04-23
DOI
10.1007/s00247-022-05368-w
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays
- (2021) Nilanjan Dey et al. PATTERN RECOGNITION LETTERS
- A Pneumonia Diagnosis Scheme Based on Hybrid Features Extracted from Chest Radiographs Using an Ensemble Learning Algorithm
- (2021) Mehedi Masud et al. Journal of Healthcare Engineering
- Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images
- (2021) Mohammad Salehi et al. BRITISH JOURNAL OF RADIOLOGY
- XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis
- (2021) Franko Hržić et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Could automated analysis of chest X-rays detect early bronchiectasis in children?
- (2021) Alys R. Clark et al. EUROPEAN JOURNAL OF PEDIATRICS
- Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
- (2021) Kicky G. van Leeuwen et al. EUROPEAN RADIOLOGY
- A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT system
- (2021) João Victor S. das Chagas et al. Journal of Real-Time Image Processing
- Ensembles of Convolutional Neural Network models for pediatric pneumonia diagnosis
- (2021) Helena Liz et al. Future Generation Computer Systems-The International Journal of eScience
- Automatic Detection and Classification of Multiple Catheters in Neonatal Radiographs with Deep Learning
- (2021) Robert D. E. Henderson et al. JOURNAL OF DIGITAL IMAGING
- Deep learning for chest X-ray analysis: A survey
- (2021) Erdi Çallı et al. MEDICAL IMAGE ANALYSIS
- Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology
- (2021) Yiyun Chen et al. PLoS One
- Radiology “forensics”: determination of age and sex from chest radiographs using deep learning
- (2021) Paul H. Yi et al. Emergency Radiology
- Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children
- (2020) Nasreen Mahomed et al. PEDIATRIC RADIOLOGY
- Preparing Medical Imaging Data for Machine Learning
- (2020) Martin J. Willemink et al. RADIOLOGY
- Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images
- (2020) Ansh Mittal et al. SENSORS
- Re-epithelialization and immune cell behaviour in an ex vivo human skin model
- (2020) Ana Rakita et al. Scientific Reports
- A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
- (2020) Vikash Chouhan et al. Applied Sciences-Basel
- Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning–Based Analysis of Chest Radiographs
- (2020) Shuhei Toba et al. JAMA Cardiology
- A Transfer Learning Method for Pneumonia Classification and Visualization
- (2020) Juan Eduardo Luján-García et al. Applied Sciences-Basel
- Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray
- (2020) Tawsifur Rahman et al. Applied Sciences-Basel
- Artificial Intelligence Solutions for Analysis of X-ray Images
- (2020) Scott J. Adams et al. CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES
- A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network
- (2020) Abdullah-Al Nahid et al. SENSORS
- Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer Learning
- (2020) Mohammad Farukh Hashmi et al. Diagnostics
- Applications of artificial intelligence (AI) in diagnostic radiology: a technography study
- (2020) Mohammad Hosein Rezazade Mehrizi et al. EUROPEAN RADIOLOGY
- Detection of pneumonia in chest X‐ray images by using 2D discrete wavelet feature extraction with random forest
- (2020) Abdurrahim Akgundogdu INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
- Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging
- (2020) Wendi Qu et al. International Journal of Computer Assisted Radiology and Surgery
- Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome
- (2020) Narathip Reamaroon et al. BMC MEDICAL IMAGING
- Comparison and Validation of Deep Learning Models for the Diagnosis of Pneumonia
- (2020) Zhenjia Yue et al. Computational Intelligence and Neuroscience
- A scoping review of transfer learning research on medical image analysis using ImageNet
- (2020) Mohammad Amin Morid et al. COMPUTERS IN BIOLOGY AND MEDICINE
- CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia
- (2020) Xiang Yu et al. INFORMATION PROCESSING & MANAGEMENT
- Pneumonia detection in chest X-ray images using convolutional neural networks and transfer learning
- (2020) Rachna Jain et al. MEASUREMENT
- PadChest: A large chest x-ray image dataset with multi-label annotated reports
- (2020) Aurelia Bustos et al. MEDICAL IMAGE ANALYSIS
- Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists
- (2020) Alexey Tolkachev et al. IEEE Journal of Biomedical and Health Informatics
- An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare
- (2019) Okeke Stephen et al. Journal of Healthcare Engineering
- Machine learning concepts, concerns and opportunities for a pediatric radiologist
- (2019) Michael M. Moore et al. PEDIATRIC RADIOLOGY
- Tackling the Radiological Society of North America Pneumonia Detection Challenge
- (2019) Ian Pan et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosis
- (2019) Evan J. Zucker et al. Journal of Cystic Fibrosis
- Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs
- (2019) Tae Kyung Kim et al. JOURNAL OF DIGITAL IMAGING
- Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data
- (2019) X. Yi et al. JOURNAL OF DIGITAL IMAGING
- A transfer learning method with deep residual network for pediatric pneumonia diagnosis
- (2019) Gaobo Liang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Using deep‐learning techniques for pulmonary‐thoracic segmentations and improvement of pneumonia diagnosis in pediatric chest radiographs
- (2019) Longjiang E et al. PEDIATRIC PULMONOLOGY
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
- (2019) Ramprasaath R. Selvaraju et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- 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
- A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning
- (2019) Awais Mansoor et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology
- (2018) An Tang et al. CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES
- Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
- (2018) Daniel S. Kermany et al. CELL
- Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies
- (2018) Matthew D. F. McInnes et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Ensemble learning: A survey
- (2018) Omer Sagi et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Computer-aided detection in chest radiography based on artificial intelligence: a survey
- (2018) Chunli Qin et al. Biomedical Engineering Online
- Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs
- (2018) Sivaramakrishnan Rajaraman et al. Applied Sciences-Basel
- Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
- (2017) Sabri Boughorbel et al. PLoS One
- Approach to Pediatric Chest Radiograph
- (2016) Manisha Jana et al. INDIAN JOURNAL OF PEDIATRICS
- STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration
- (2016) Jérémie F Cohen et al. BMJ Open
- Computer-aided detection system for chest radiography: reducing report turnaround times of examinations with abnormalities
- (2015) E-Fong Kao et al. ACTA RADIOLOGICA
- Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement
- (2015) G. S. Collins et al. CIRCULATION
- Computer-aided diagnosis system for the Acute Respiratory Distress Syndrome from chest radiographs
- (2014) Nesrine Zaglam et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Global burden of childhood pneumonia and diarrhoea
- (2013) Christa L Fischer Walker et al. LANCET
- Global, regional, and national causes of child mortality in 2008: a systematic analysis
- (2010) Robert E Black et al. LANCET
- Computer-aided diagnosis in chest radiography for detection of childhood pneumonia
- (2008) Leandro Luís Galdino Oliveira et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
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