Deep convolutional neural network based HEp-2 cell classification

Proceedings - International Conference on Pattern Recognition

Volumn 0, Issue , 2016, Pages 77-80

  Jia, Xi ^a   Shen, Linlin ^a   Zhou, Xiande ^a   Yu, Shiqi ^a  

^a SHENZHEN UNIVERSITY   (China)

Author keywords

Class balanced; Classification; CNN; Hep 2

Indexed keywords

CELLS; CLASSIFICATION (OF INFORMATION); CYTOLOGY; DEEP NEURAL NETWORKS; NEURAL NETWORKS;

CLASS-BALANCED; CLASSIFICATION METHODS; CLINICAL APPLICATION; DEEP CONVOLUTIONAL NEURAL NETWORKS; HEP-2; HIGH-LEVEL FEATURES; NETWORK TRAINING; PATTERN RECOGNITION TECHNIQUES;

PATTERN RECOGNITION;

EID: 85019169344     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2016.7899611     Document Type: Conference Paper

References (12)

1. Foggia, P., et al., "Benchmarking HEp-2 cells classification methods". IEEE Transactions on Medical Imaging, 2013. vol. 32 (10): pp. 1878-1889.
2. Foggia, P., et al., "Pattern recognition in stained HEp-2 cells: Where are we now". Pattern Recognition, 2014. vol. 47 (7): pp. 2305-2314.
3. Hobson, P., et al., "Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset". Artificial Intelligence in Medicine, 2015. vol. 65 (3): pp. 239-250.
4. Shen, L., et al., "HEp-2 image classification using intensity order pooling based features and bag of words". Pattern Recognition, 2014. vol. 47 (7): pp. 2419-2427.
5. Manivannan, S., et al. "HEp-2 cell classification using multi-resolution local patterns and ensemble SVMs". in Pattern Recognition Techniques for Indirect Immunofluorescence Images (I3A), 2014 1st Workshop on. 2014. IEEE.
6. Gao, Z., et al. "HEp-2 Cell Image Classification with Deep Convolutional Neural Networks". in ICPR Contest & Workshop: Pattern Recognition Techniques for Indirect Immunofluorescence Images Analysis. 2015.
7. Simonyan, K. And A. Zisserman, "Very deep convolutional networks for large-scale image recognition". ArXiv preprint arXiv: 1409. 1556, 2014.
8. Hobson, P., et al., "HEp-2 staining pattern recognition at cell and specimen levels: Datasets, algorithms and results". Pattern Recognition Letters, 2016.
9. Krizhevsky, A., I. Sutskever, and G. E. Hinton. "Imagenet classification with deep convolutional neural networks". in Advances in Neural Information Processing Systems. 2012.
10. Jia, Y., et al. "Caffe: Convolutional architecture for fast feature embedding". in Proceedings of the 22nd ACM International Conference on Multimedia. 2014. ACM.
11. Lovell, B. C., et al., "Performance evaluation of indirect immunofluorescence image analysis systems". ICPR 2014, 2014.
12. Qi, X., et al., "Hep-2 cell classification via fusing texture and shape information". ArXiv preprint arXiv: 1502. 04658, 2015.