Cargando…
Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling
Ductal carcinoma in situ (DCIS) is a pre-cancerous lesion in the ducts of the breast, and early diagnosis is crucial for optimal therapeutic intervention. Thermography imaging is a non-invasive imaging tool that can be utilized for detection of DCIS and although it has high accuracy (~ 88%), it is s...
Autores principales: | Zhang, Yu-Dong, Satapathy, Suresh Chandra, Wu, Di, Guttery, David S., Górriz, Juan Manuel, Wang, Shui-Hua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591711/ https://www.ncbi.nlm.nih.gov/pubmed/34804768 http://dx.doi.org/10.1007/s40747-020-00218-4 |
Ejemplares similares
-
A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis
por: Zhang, Yu-Dong, et al.
Publicado: (2020) -
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
por: Wang, Shui-Hua, et al.
Publicado: (2021) -
Deep Fractional Max Pooling Neural Network for COVID-19 Recognition
por: Wang, Shui-Hua, et al.
Publicado: (2021) -
SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network
por: Kumar, Aayush, et al.
Publicado: (2022) -
Multilevel Strip Pooling-Based Convolutional Neural Network for the Classification of Carotid Plaque Echogenicity
por: Ma, Wei, et al.
Publicado: (2021)