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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Detalles Bibliográficos
Autores principales: Senousy, Zakaria, Abdelsamea, Mohammed M., Mohamed, Mona Mostafa, Gaber, Mohamed Medhat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156865/
https://www.ncbi.nlm.nih.gov/pubmed/34065765
http://dx.doi.org/10.3390/e23050620

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156865/
https://www.ncbi.nlm.nih.gov/pubmed/34065765
http://dx.doi.org/10.3390/e23050620

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