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Volumn 173, Issue 3, 2018, Pages 546-548

Seeing More: A Future of Augmented Microscopy

Author keywords

[No Author keywords available]

Indexed keywords

FLUORESCENT DYE;

EID: 85045300908     PISSN: 00928674     EISSN: 10974172     Source Type: Journal    
DOI: 10.1016/j.cell.2018.04.003     Document Type: Short Survey
Times cited : (17)

References (10)
  • 2
    • 85042712042 scopus 로고    scopus 로고
    • DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs
    • Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L., DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs. IEEE Trans. Pattern Anal. Mach. Intell. 40 (2018), 834–848.
    • (2018) IEEE Trans. Pattern Anal. Mach. Intell. , vol.40 , pp. 834-848
    • Chen, L.C.1    Papandreou, G.2    Kokkinos, I.3    Murphy, K.4    Yuille, A.L.5
  • 7
    • 84951834022 scopus 로고    scopus 로고
    • U-Net: Convolutional Networks for Biomedical Image Segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention, (Springer)
    • Ronneberger, O., Fischer, P., and Brox, T. (2015). U-Net: Convolutional Networks for Biomedical Image Segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention, (Springer), pp. 234–241.
    • (2015) , pp. 234-241
    • Ronneberger, O.1    Fischer, P.2    Brox, T.3
  • 9
    • 84910651844 scopus 로고    scopus 로고
    • Deep learning in neural networks: an overview
    • Schmidhuber, J., Deep learning in neural networks: an overview. Neural Netw. 61 (2015), 85–117.
    • (2015) Neural Netw. , vol.61 , pp. 85-117
    • Schmidhuber, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.