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Segmentation And Quantification Of Cellular Load In Pulmonary Endomicroscopic Images Using Convolutional Neural Networks.

S. Bonheur, A. Eldaly, J. Westerfeld, D. Wilson, K. Dhaliwal, S. McLaughlin, and A. Perperidis. ISBI, page 1018-1022. IEEE, (2019)

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Texture Descriptors for Classifying Sparse, Irregularly Sampled Optical Endomicroscopy Images.O. Leonovych, M. Koujan, A. Akram, J. Westerfeld, D. Wilson, K. Dhaliwal, S. McLaughlin, and A. Perperidis. MIUA, volume 894 of Communications in Computer and Information Science, page 165-176. Springer, (2018)Image computing for fibre-bundle endomicroscopy: A review.A. Perperidis, K. Dhaliwal, S. McLaughlin, and T. Vercauteren. CoRR, (2018)Patch-Based Sparse Representation For Bacterial Detection.A. Eldaly, Y. Altmann, A. Akram, A. Perperidis, K. Dhaliwal, and S. McLaughlin. ISBI, page 657-661. IEEE, (2019)Robust Markov Random Field outlier detection and removal in subsampled images.P. McCool, Y. Altmann, A. Perperidis, and S. McLaughlin. SSP, page 1-5. IEEE, (2016)Deconvolution and Restoration of Optical Endomicroscopy Images.A. Eldaly, Y. Altmann, A. Perperidis, N. Krstajic, T. Choudhary, K. Dhaliwal, and S. McLaughlin. IEEE Trans. Computational Imaging, 4 (2): 194-205 (2018)Correcting LCD luminance non-uniformity for threshold Saccadic Vector Optokinetic Perimetry (SVOP).A. Perperidis, I. Murray, H. Brash, A. McTrusty, L. Cameron, B. Fleck, and R. Minns. EMBC, page 1636-1639. IEEE, (2013)Automated Detection of Uninformative Frames in Pulmonary Optical Endomicroscopy.A. Perperidis, A. Akram, Y. Altmann, P. McCool, J. Westerfeld, D. Wilson, K. Dhaliwal, and S. McLaughlin. IEEE Trans. Biomed. Engineering, 64 (1): 87-98 (2017)Saccadic Vector Optokinetic Perimetry (SVOP): A novel technique for automated static perimetry in children using eye tracking.I. Murray, A. Perperidis, H. Brash, L. Cameron, A. McTrusty, B. Fleck, and R. Minns. EMBC, page 3186-3189. IEEE, (2013)Deconvolution and Restoration of Optical Endomicroscopy Images.A. Eldaly, Y. Altmann, A. Perperidis, N. Krstajic, T. Choudhary, K. Dhaliwal, and S. McLaughlin. CoRR, (2017)Multi-class classification of pulmonary endomicroscopic images.M. Koujan, A. Akram, P. McCool, J. Westerfeld, D. Wilson, K. Dhaliwal, S. McLaughlin, and A. Perperidis. ISBI, page 1574-1577. IEEE, (2018)

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Segmentation And Quantification Of Cellular Load In Pulmonary Endomicroscopic Images Using Convolutional Neural Networks.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Segmentation And Quantification Of Cellular Load In Pulmonary Endomicroscopic Images Using Convolutional Neural Networks.

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Segmentation And Quantification Of Cellular Load In Pulmonary Endomicroscopic Images Using Convolutional Neural Networks.