Computer-aided detection in chest radiography based on artificial intelligence: a survey
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Title
Computer-aided detection in chest radiography based on artificial intelligence: a survey
Authors
Keywords
Artificial intelligence, Computer-aided detection, Chest radiography, Disease classification
Journal
Biomedical Engineering Online
Volume 17, Issue 1, Pages -
Publisher
Springer Nature America, Inc
Online
2018-08-22
DOI
10.1186/s12938-018-0544-y
References
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Note: Only part of the references are listed.- Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs
- (2018) Alexey A. Novikov et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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- (2017) Mark Cicero et al. INVESTIGATIVE RADIOLOGY
- Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain
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- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
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- (2017) Paras Lakhani et al. RADIOLOGY
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- (2017) Tomas Plankis et al. Nonlinear Analysis-Modelling and Control
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- (2016) Xuechen Li et al. Journal of Medical Imaging and Health Informatics
- Lung segmentation on standard and mobile chest radiographs using oriented Gaussian derivatives filter
- (2015) Wan Siti Halimatul Munirah Wan Ahmad et al. Biomedical Engineering Online
- Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis
- (2015) Laurens Hogeweg et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Lung Segmentation Based on Customized Active Shape Model from Digital Radiography Chest Images
- (2015) Gang Wu et al. Journal of Medical Imaging and Health Informatics
- Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration
- (2013) Sema Candemir et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Novel coarse-to-fine dual scale technique for tuberculosis cavity detection in chest radiographs
- (2013) Tao Xu et al. EURASIP Journal on Image and Video Processing
- Automatic detection of lesions in lung regions that are segmented using spatial relations
- (2012) Donia Ben Hassen et al. CLINICAL IMAGING
- Improved detection of focal pneumonia by chest radiography with bone suppression imaging
- (2012) Feng Li et al. EUROPEAN RADIOLOGY
- Computer-Assisted Diagnosis of Tuberculosis: A First Order Statistical Approach to Chest Radiograph
- (2011) Jen Hong Tan et al. JOURNAL OF MEDICAL SYSTEMS
- Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification
- (2011) Sheng Chen et al. MEDICAL PHYSICS
- Lung Nodules: Improved Detection with Software That Suppresses the Rib and Clavicle on Chest Radiographs
- (2011) Matthew Thomas Freedman et al. RADIOLOGY
- Small Lung Cancers: Improved Detection by Use of Bone Suppression Imaging—Comparison with Dual-Energy Subtraction Chest Radiography
- (2011) Feng Li et al. RADIOLOGY
- A Hybrid Knowledge-Guided Detection Technique for Screening of Infectious Pulmonary Tuberculosis From Chest Radiographs
- (2010) Rui Shen et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words
- (2010) Uri Avni et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Performance of Radiologists in Detection of Small Pulmonary Nodules on Chest Radiographs: Effect of Rib Suppression With a Massive-Training Artificial Neural Network
- (2009) Seitaro Oda et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Computer-aided diagnosis in chest radiography: Beyond nodules
- (2009) Bram van Ginneken et al. EUROPEAN JOURNAL OF RADIOLOGY
- Dual energy subtraction: Principles and clinical applications
- (2009) Peter Vock et al. EUROPEAN JOURNAL OF RADIOLOGY
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Performance analysis of a new computer aided detection system for identifying lung nodules on chest radiographs
- (2007) Russell C. Hardie et al. MEDICAL IMAGE ANALYSIS
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