OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 21, Issue 4, 48(2023)
Uncertainty Modeling in Deep Learning for Focus Prediction of Defocused Images
[1] [1] Fainardi E,Castellazzi M,Seraceni S,et al. Under the microscope:Focus on chlamydia pneumoniae infection and multiple sclerosis[J]. Current Neurovascular Research,2008,5(1):60-70.
[2] [2] Groen F C,Young I T,Ligthart G. A comparison of different focus functions for use in autofocus algorithms[J].Cytometry:The Journal of the International Society for Analytical Cytology,1985,6(2):81-91.
[3] [3] Subbarao M,Choi T-S,Nikzad A. Focusing techniques[J]. Optical Engineering,1993,32(11):2824-36.
[4] [4] Yoshida Y,Shinohara S,Ikeda H,et al. Application of semiconductor laser range finder to position control of lens in auto-focus camera[C]//Conference of the IEEE Industrial Electronics Society. IEEE,1991.
[5] [5] CHAN C-C,HUANG S-K,CHEN H H. Enhancement of phase detection for autofocus[C]//IEEE International Conference on Image Processing(ICIP). F IEEE,2018.
[6] [6] ?LIWI?SKI P,WACHEL P. A simple model for on-sensor phase-detection autofocusing algorithm[J]. Journal of Computer and Communications,2013,1(6):11.
[7] [7] PECH-PACHECO J L,CRISTóBAL G,CHAMORRO-MARTINEZ J,et al. Diatom autofocusing in brightfield microscopy:A comparative study[C]//15th International Conference on Pattern Recognition ICPR-2000. IEEE,2000.
[8] [8] ZHANG Z,LIU Y,XIONG Z,et al. Focus and blurriness measure using reorganized dct coefficients for an autofocus application[J]. IEEE Transactions on Circuits and Systems for Video Technology,2016,28(1):15-30.
[9] [9] SHEN F,HODGSON L,HAHN K. Digital autofocus methods for automated microscopy[J]. Methods in Enzymology,2006,414:620-632.
[10] [10] KUDRYAVTSEV A V,DEMBéLé S,PIAT N. Autofocus on moving object in scanning electron microscope[J].Ultramicroscopy,2017,182:216-225.
[11] [11] JIN S H,CHO J U,JEON J W. FPGA based passive auto focus system using adaptive thresholding[C]//2006 SICEICASE International Joint Conference. IEEE,2006.
[12] [12] YAZDANFAR S,KENNY K B,TASIMI K,et al. Simple and robust image-based autofocusing for digital microscopy[J]. Optics Express,2008,16(12):8670-8676.
[13] [13] LIAO J,JIANG Y,BIAN Z,et al. Rapid focus map surveying for whole slide imaging with continuous sample motion[J]. Optics Letters,2017,42(17):3379-3382.
[14] [14] Krizhevsky A,Sutskever I,Hinton G E. Imagenet classification with deep convolutional neural networks[J].Communications of the ACM,2017,60(6):84-90.
[17] [17] REN Z,XU Z,LAM E Y. Learning-based nonparametric autofocusing for digital holography[J]. Optica,2018,5(4):337-44.
[18] [18] WEI L,ROBERTS E. Neural network control of focal position during time-lapse microscopy of cells[J]. Scientific Reports,2018,8(1):1-10.
[19] [19] PINKARD H,PHILLIPS Z,BABAKHANI A,et al. Deep learning for single-shot autofocus microscopy[J].Optica,2019,6(6):794-801.
[20] [20] WU Y,RIVENSON Y,ZHANG Y,et al. Extended depth-of-field in holographic imaging using deep-learningbased autofocusing and phase recovery[J]. Optica,2018,5(6):704-713.
[21] [21] LIAO J,CHEN X,DING G,et al. Deep learning-based single-shot autofocus method for digital microscopy[J].Biomedical Optics Express,2022,13(1):314-327.
[22] [22] GAL Y,GHAHRAMANI Z. Dropout as a bayesian approximation:Representing model uncertainty in deep learning[C]//international Conference on Machine Learning. PMLR,2016.
[23] [23] TAN M,LE Q. Efficientnet:Rethinking model scaling for convolutional neural networks[C]//International Conference on Machine Learning. PMLR,2019.
[24] [24] Paisley J,Blei D,Jordan M. Variational Bayesian inference with stochastic search[J]. arXiv preprint arXiv:1206.6430,2012.
[25] [25] Rezende D J,Mohamed S,Wierstra D. Stochastic backpropagation and approximate inference in deep generative models[C]//International Conference on Machine Learning. PMLR,2014.
[26] [26] Denker J,Lecun Y. Transforming neural-net output levels to probability distributions[C]//Proceedings of the 1990 Conference on Advance in Neural Information Processing System 3. Denver,Colorad,USA,1990:853-859.
[27] [27] Srivastava N,Hinton G,Krizhevsky A,et al. Dropout:A simple way to prevent neural networks from overfitting [J]. The Journal of Machine Learning Research,2014,15(1):1929-58.
[28] [28] Abdar M,Pourpanah F,Hussain S,et al. A review of uncertainty quantification in deep learning:Techniques,applications and challenges[J]. Information Fusion,2021,76:243-297.
[29] [29] JIANG S,LIAO J,BIAN Z,et al. Transform-and multi-domain deep learning for single-frame rapid autofocusing in whole slide imaging[J]. Biomedical Optics Express,2018,9(4):1601-1612.
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[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Uncertainty Modeling in Deep Learning for Focus Prediction of Defocused Images[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2023, 21(4): 48
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Received: Nov. 9, 2022
Accepted: --
Published Online: Jan. 17, 2024
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