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3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images

Automated grading systems using deep convolution neural networks (DCNNs) have proven their capability and potential to distinguish between different breast cancer grades using digitized histopathological images. In digital breast pathology, it is vital to measure how confident a DCNN is in grading u...

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Bibliografiske detaljer
Udgivet i:Entropy (Basel)
Main Authors: Senousy, Zakaria, Abdelsamea, Mohammed M., Mohamed, Mona Mostafa, Gaber, Mohamed Medhat
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2021
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8156865/
https://ncbi.nlm.nih.gov/pubmed/34065765
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23050620
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