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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...

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Podrobná bibliografie
Vydáno v:IEEE Trans Med Imaging
Hlavní autoři: Zhang, Fan, Dvornek, Nicha, Yang, Junlin, Chapiro, Julius, Duncan, James
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
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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