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Volumn 9351, Issue , 2015, Pages 226-233

Neutrophils identification by deep learning and Voronoi diagram of clusters

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; COMPUTATIONAL GEOMETRY; DIAGNOSIS; GRAPHIC METHODS; HISTOLOGY; MEDICAL COMPUTING; MEDICAL IMAGING; NEURAL NETWORKS; TISSUE;

EID: 84951788063     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-24574-4_27     Document Type: Conference Paper
Times cited : (20)

References (10)
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    • On clustering induced Voronoi diagrams
    • Chen, D.Z., Huang, Z., Liu, Y., Xu, J.: On clustering induced Voronoi diagrams. In: FOCS, pp. 390–399 (2013)
    • (2013) FOCS , pp. 390-399
    • Chen, D.Z.1    Huang, Z.2    Liu, Y.3    Xu, J.4
  • 5
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1106–1114 (2012)
    • (2012) NIPS , pp. 1106-1114
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 6
    • 84869491167 scopus 로고    scopus 로고
    • A histopathologic scoring system as a tool for standardized reporting of chronic (Ileo) colitis and independent risk assessment for inflammatory bowel disease
    • Naini, B.V., Cortina, G.: A histopathologic scoring system as a tool for standardized reporting of chronic (ileo) colitis and independent risk assessment for inflammatory bowel disease. Human Pathology 43, 2187–2196 (2012)
    • (2012) Human Pathology , vol.43 , pp. 2187-2196
    • Naini, B.V.1    Cortina, G.2
  • 7
    • 84910651844 scopus 로고    scopus 로고
    • Deep learning in neural networks: An overview
    • Schmidhuber, J.: Deep learning in neural networks: An overview. Neural Networks 61, 85–117 (2014)
    • (2014) Neural Networks , vol.61 , pp. 85-117
    • Schmidhuber, J.1
  • 8
    • 84909642918 scopus 로고    scopus 로고
    • Identifying neutrophils in H&E staining histology tissue images
    • In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.), Springer, Heidelberg
    • Wang, J., MacKenzie, J.D., Ramachandran, R., Chen, D.Z.: Identifying neutrophils in H&E staining histology tissue images. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part I. LNCS, vol. 8673, pp. 73–80. Springer, Heidelberg (2014)
    • (2014) MICCAI 2014, Part I. LNCS , vol.8673 , pp. 73-80
    • Wang, J.1    Mackenzie, J.D.2    Ramachandran, R.3    Chen, D.Z.4
  • 9
    • 38049101498 scopus 로고    scopus 로고
    • Density-based data clustering algorithms for lower dimensions using space-filling curves
    • In: Zhou, Z.-H., Li, H., Yang, Q. (eds.), Springer, Heidelberg
    • Xu, B., Chen, D.Z.: Density-based data clustering algorithms for lower dimensions using space-filling curves. In: Zhou, Z.-H., Li, H., Yang, Q. (eds.) PAKDD 2007. LNCS (LNAI), vol. 4426, pp. 997–1005. Springer, Heidelberg (2007)
    • (2007) PAKDD 2007. LNCS (LNAI) , vol.4426 , pp. 997-1005
    • Xu, B.1    Chen, D.Z.2
  • 10
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    • Visualizing and understanding convolutional networks
    • In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
    • Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part I. LNCS, vol. 8689, pp. 818–833. Springer, Heidelberg (2014)
    • (2014) ECCV 2014, Part I. LNCS , vol.8689 , pp. 818-833
    • Zeiler, M.D.1    Fergus, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.