Title | ||
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Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification. |
Abstract | ||
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We propose a new multiscale rotation-invariant convolutional neural network (MRCNN) model for classifying various lung tissue types on high-resolution computed tomography. MRCNN employs Gabor-local binary pattern that introduces a good property in image analysis-invariance to image scales and rotations. In addition, we offer an approach to deal with the problems caused by imbalanced number of samp... |
Year | DOI | Venue |
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2018 | 10.1109/JBHI.2017.2685586 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Lungs,Feature extraction,Informatics,Support vector machines,Neural networks,Biomedical imaging,Computed tomography | Computer vision,Binary pattern,Pattern recognition,Medical imaging,Convolutional neural network,Computer science,Support vector machine,Feature extraction,Artificial intelligence,Invariant (mathematics),Computed tomography,Artificial neural network | Journal |
Volume | Issue | ISSN |
22 | 1 | 2168-2194 |
Citations | PageRank | References |
6 | 0.50 | 45 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qiangchang Wang | 1 | 6 | 0.50 |
Yuanjie Zheng | 2 | 671 | 55.01 |
Gongping Yang | 3 | 414 | 42.17 |
Weidong Jin | 4 | 6 | 0.50 |
Xinjian Chen | 5 | 39 | 7.50 |
Yilong Yin | 6 | 966 | 135.80 |