Protein Image Classification based on Convolutional Neural Network and Recurrent Neural Network

Author:

Qu Yuanying1,Song Haowei1,Liang Hai-Ning1,Ma Jieming1,Wang Wei1

Affiliation:

1. Xi'an Jiaotong-Liverpool University, Suzhou, China

Funder

XJTLU Research Development Fund

XJTLU Key Program Special Fund (KSF-A-03 and KSF-02)

Publisher

ACM

Reference15 articles.

1. The human protein atlas: A spatial map of the human proteome;Thul P.J.;Protein Science,2018

2. Estimating Protein Structure Prediction Models Quality Using Convolutional Neural Networks. In 2018 International Joint Conference on Neural Networks (IJCNN) IEEE 1--6. Estimating Protein Structure Prediction Models Quality Using Convolutional Neural Networks. In 2018 International Joint Conference on Neural Networks (IJCNN) IEEE 1--6. E.C. Lima F.L. Custódio G.K. Rocha L.E Dardenne 2018

3. Krizhevsky A. Sutskever I. and Hinton G.E. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems 1097--1105. Krizhevsky A. Sutskever I. and Hinton G.E. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems 1097--1105.

4. Proceedings of the IEEE conference on computer vision and pattern recognition 2818--2826 Proceedings of the IEEE conference on computer vision and pattern recognition 2818--2826 C. Szegedy V. Vanhoucke S. Ioffe J. Shlens Z Wojna 2016. Rethinking the inception architecture for computer vision

5. Proceedings of the IEEE conference on computer vision and pattern recognition 1--9. Proceedings of the IEEE conference on computer vision and pattern recognition 1--9. C. Szegedy W. Liu Y. Jia P. Sermanet S. Reed D. Anguelov D. Erhan V. Vanhoucke A Rabinovich 2015. Going deeper with convolutions

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