Artificial Intelligence Framework for Efficient Detection and Classification of Pneumonia Using Chest Radiography Images

[1] Woodhead M(2013)Pneumonia classification and healthcare-associated pneumonia: a new avenue or just a cul-de-sac? Thorax 68 985-986

[2] Mackenzie G(2016)The definition and classification of pneumonia Pneumonia 8 14-582

[3] Ching T(2018)Opportunities and obstacles for deep learning in biology and medicine J Royal Soc Inter 15 20170387-101

[4] Himmelstein DS(2017)Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks Radiology 284 574-954

[5] Beaulieu-Jones BK(2019)A gentle introduction to deep learning in medical image processing Zeitschrift für Medizinische Physik. 29 86-1131

[6] Kalinin AA(2019)Deep learning in radiology: an overview of the concepts and a survey of the state of the art with focus on MRI Journal of Magnetic Resonance Imaging 49 939-3

[7] Do BT(2019)An efficient deep learning approach to pneumonia classification in healthcare J Healthc Eng 2019 4180949-592

[8] Way GP(2020)Transfer learning with deep convolutional neural network (CNN) for pneumonia detection using chest x-ray Applied Sciences 10 3233-173

[9] Ferrero E(2018)Visualization and interpretation of convolutional neural network predictions in detecting pneumonia in pediatric chest radiographs Applied Sciences 8 1715-9

[10] Agapow PM(2018)Identifying medical diagnoses and treatable diseases by image-based deep learning Cell 172 1122-430

[1] Woodhead M(2013)Pneumonia classification and healthcare-associated pneumonia: a new avenue or just a cul-de-sac? Thorax 68 985-986

[2] Mackenzie G(2016)The definition and classification of pneumonia Pneumonia 8 14-582

[3] Ching T(2018)Opportunities and obstacles for deep learning in biology and medicine J Royal Soc Inter 15 20170387-101

[4] Himmelstein DS(2017)Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks Radiology 284 574-954

[5] Beaulieu-Jones BK(2019)A gentle introduction to deep learning in medical image processing Zeitschrift für Medizinische Physik. 29 86-1131

[6] Kalinin AA(2019)Deep learning in radiology: an overview of the concepts and a survey of the state of the art with focus on MRI Journal of Magnetic Resonance Imaging 49 939-3

[7] Do BT(2019)An efficient deep learning approach to pneumonia classification in healthcare J Healthc Eng 2019 4180949-592

[8] Way GP(2020)Transfer learning with deep convolutional neural network (CNN) for pneumonia detection using chest x-ray Applied Sciences 10 3233-173

[9] Ferrero E(2018)Visualization and interpretation of convolutional neural network predictions in detecting pneumonia in pediatric chest radiographs Applied Sciences 8 1715-9

[10] Agapow PM(2018)Identifying medical diagnoses and treatable diseases by image-based deep learning Cell 172 1122-430