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A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks
Three-dimensional (3D) medical image classification is useful in applications such as disease diagnosis and content-based medical image retrieval. It is a challenging task due to several reasons. First, image intensity values are vastly different depending on the image modality. Second, intensity va...
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| Veröffentlicht in: | PeerJ Comput Sci |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
PeerJ Inc.
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7924426/ https://ncbi.nlm.nih.gov/pubmed/33816834 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.181 |
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