Protein Image Classification based on Convolutional Neural Network and Recurrent Neural Network
| Autor: | Yuanying Qu, Haowei Song, Hai-Ning Liang, Jieming Ma, Wei Wang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
ComputingMethodologies_PATTERNRECOGNITION
Recurrent neural network Contextual image classification Computer science business.industry Component (UML) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Pattern recognition Artificial intelligence Scale (map) business Convolutional neural network |
| Zdroj: | CSAI |
| DOI: | 10.1145/3374587.3374617 |
| Popis: | Proteins are an essential component in the cell where the functions are executed to enable life. At present, the manual evaluation and classification of protein images is not practical given the current situation for generated images on a large scale. Hence, the requirement of automating protein image classification can be quite useful. Until now, classical machine learning and convolutional neural network algorithms have achieved results in image classification without the desired level of accuracy. Under the circumstances, the research aims to propose an accurate classified model for protein image classification by combining a convolutional neural network with a recurrent neural network. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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