Biomedical compound figure detection using deep convolutional neural network
Zhang, Guobiao; Lu, Wei
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https://hdl.handle.net/2142/103376
Description
Title
Biomedical compound figure detection using deep convolutional neural network
Author(s)
Zhang, Guobiao
Lu, Wei
Issue Date
2019-03-15
Keyword(s)
Compound image detection
Biomedical images
Deep learning
VGG16
ImageCLEFmed
Abstract
Scientific figures contain significant amounts of information but present different challenges relative to image retrieval. One such challenge is compound figures or images made up of two or more subfigures. A deep convolutional neural network model is proposed for compound figure detection (CFD) in the biomedical article domain. Our architecture is inspired by the success of VGG16 and uses large-size convolution kernel in first layer. The proposed model obtained a best test accuracy of 97.08% outperforming traditional hand-crafted and other deep learning representations on the ImageCLEF2016 CFD subtask datasets.
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