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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3126838
Abstract: Convolutional neural networks (CNNs) have dominated image recognition and object detection models in the last few years. They can achieve the highest accuracies with several applications such as automotive and biomedical applications. CNNs are usually…
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Keywords:
googlenet;
power;
convolutional neural;
performance ... See more keywords
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Published in 2021 at "Applied Engineering in Agriculture"
DOI: 10.13031/aea.14187
Abstract: HighlightsThe proposed data enhancement method can be used for small-scale data sets with rich sample image features.The accuracy of the new model reaches 98.5%, which is better than the traditional CNN method.Abstract: GoogLeNet offers far…
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Keywords:
apple;
scale data;
googlenet;
model ... See more keywords
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Published in 2017 at "Studies in health technology and informatics"
DOI: 10.3233/978-1-61499-830-3-318
Abstract: This paper proposes an automatic classification method to detect glaucoma in fundus images. The method is based on training a neural network using public image databases. The network used in this paper is the GoogLeNet,…
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Keywords:
googlenet;
network;
automatic identification;
glaucoma ... See more keywords
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Published in 2018 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2018.00804
Abstract: Background: Accurate glioma grading before surgery is of the utmost importance in treatment planning and prognosis prediction. But previous studies on magnetic resonance imaging (MRI) images were not effective enough. According to the remarkable performance…
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Keywords:
googlenet;
transfer learning;
glioma grading;
deep learning ... See more keywords