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Fisher encoding of convolutional neural network features for endoscopic image classification
We propose an approach for the automated diagnosis of celiac disease (CD) and colonic polyps (CP) based on applying Fisher encoding to the activations of convolutional layers. In our experiments, three different convolutional neural network (CNN) architectures (AlexNet, VGG-f, and VGG-16) are applie...
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| Pubblicato in: | J Med Imaging (Bellingham) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6152583/ https://ncbi.nlm.nih.gov/pubmed/30840751 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.3.034504 |
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