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Colon Disease Diagnosis with Convolutional Neural Network and Grasshopper Optimization Algorithm
This paper presents a robust colon cancer diagnosis method based on the feature selection method. The proposed method for colon disease diagnosis can be divided into three steps. In the first step, the images’ features were extracted based on the convolutional neural network. Squeezenet, Resnet-50,...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217543/ https://www.ncbi.nlm.nih.gov/pubmed/37238212 http://dx.doi.org/10.3390/diagnostics13101728 |