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Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification
In this project, our goal is to develop a method for interpreting how a neural network makes layer-by-layer embedded decisions when trained for a classification task, and also to use this insight for improving the model performance. To do this, we first approximate the distribution of the image repr...
Uloženo v:
| Vydáno v: | IEEE Trans Med Imaging |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7606489/ https://ncbi.nlm.nih.gov/pubmed/32356739 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2020.2990625 |
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