A transfer learning method with deep residual network for pediatric pneumonia diagnosis

•Proposed a residual structure with dilated convolution for the classification of pediatric pneumonia images.•Suggested an automated diagnostic algorithm for pediatric pneumonia to be used for end-to-end learning.•Efficiently solves the problem of low image resolution, partial occlusion and/or overl...

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Vydané v:	Computer methods and programs in biomedicine Ročník 187; s. 104964
Hlavní autori:	Liang, Gaobo, Zheng, Lixin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Ireland Elsevier B.V 01.04.2020
Predmet:	Algorithms Area Under Curve Child Child, Preschool Deep Learning Diagnosis, Computer-Assisted - methods Female Humans Image classification Infant Inflammation - immunology Magnetic Resonance Imaging Male Pattern Recognition, Automated Pediatrics Pneumonia Pneumonia - diagnosis Reproducibility of Results Residual network ROC Curve Tomography, X-Ray Computed Transfer Learning X-Rays Deep learning Pneumonia Transfer Learning Residual network Image classification
ISSN:	0169-2607, 1872-7565, 1872-7565
On-line prístup:	Získať plný text
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