卷积神经网络在生物医学图像上的应用进展(11)
[28] CIRESAN D C,GIUSTI A,GAMBARDELLAL M,et detection in breast cancer histology images with deep neural networks[C]//Proceedings of Medical Image Computing and Computer-Assisted Intervention(MICCAI 2013),2013:411-418
[29] CHEN H,DON Q,WANG X,et detection in breast cancer histology images via deep cascaded networks[C]//Proceedings of Medical Image Computing and Computer-Assisted Intervention(MICCAI 2013),2013:1160-1166.
[30] JIAY Q,SHELHAMER E,DONAHUE J,et al.Caffe:Convolutional architecture for fast feature embedding[C]//Proceedings of the 2014 ACM Conference on Multimedia(MM’14),2014:675-678.
[31] LI C,WANG X G,LIU W Y,et al.Deep Mitosis:Mitosis detection via deep detection,verification and segmentation networks[J].Medical Image Analysis,2018,45:121-133.
[32] MOESKOPS P,VIERGEVER M A,MENDRIK A M,et segmentation of MR brain images with a convolutional neural network[J].IEEE Transactions on Medical Imaging,2016,35(5):1252-1261.
[33] I?GUM I,BENDERS M J N L,AVANTS B,et of automatic neonatal brain segmentation algorithms:The NeoBrainS12 challenge[J].Medical Image Analysis,2015,20(1):135-151.
[34] MENDRIK A M,VINCKEN K L,KUIJF H J,et challenge:Online evaluation framework for brain image segmentation in 3T MRI scans[J].Computational Intelligence and Neuroscience,2015(4/5):1-16.
[35] MARCUS D S,WANG T H,PARKER J,et al.Open Access Series of Imaging Studies(OASIS):Cross-sectional MRI data in young,middle aged,nondemented,and demented older adults[J].Journal of Cognitive Neuroscience,2007,19(9):1498-1507.
[36] KLEESIEK J,URBAN G,HUBERT A,et al.Deep MRI brain extraction:A 3D convolutional neural network for skull stripping[J].NeuroImage,2016,129:460-469.
[37] ROHLFING T.Image similarity and tissue overlaps as surrogates for image registration accuracy:Widely used but unreliable[J].IEEE Transactions on Medical Imaging,2012,31(2):153-163.
[38] SHATTUCK D W,MIRZA M,ADISETIYO V,et of a 3D probabilistic atlas of human cortical structures[J].NeuroImage,2008,39(3):1064-1080.
[39] ZHANG W L,LI R J,DENG H T,et al.Deep convolutional neural networks for multi-modality isointense infant brain image segmentation[J].NeuroImage,2015,108:214-224.
[40] HAVAEI M,DAVY A,WARDE-FARLEY D,et al.Brain tumor segmentation with deep neural networks[J].Medical Image Analysis,2017.35:18-31.
[41] FARAHANI K,MENZE B,REYES brain tumor segmentation[C]//Proceedings of BRATS 2013,2013.
[42] ZHAO X M,WU Y H,SONG G D,et al.A deep learning model integrating FCNNs and CRFs for brain tumor segmentation[J].Medical Image Analysis,2018,43:98-111.
[43] GULSHAN V,PENG L,CORAM M,et and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs[J].Journal of the American Medical Association,2016,316:2402-2410.
[44] DECENCIèRE E,ZHANG X W,CAZUGUEL G,et on a publicly distributed image database:The Messidor database[J].Image Analysis &Stereology,2014,33(3):4.
[45] YU S,XIAO D,KANAGASINGAM detection for diabetic retinopathy with convolutional neural networks[C]//Proceedings of Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society,2017:1744-1747.
[46] ZHANG X W,THIBAULT G,DECENCIERE E,et detection in color retinal images for mass screening of diabetic retinopathy[J].Medical Image Analysis,2014,18(7):1026-1043.
[47] PLAYOUT C,DUVAL R,CHERIET F.A multitask learning architecture for simultaneous segmentation of bright and red lesions in fundus images[C]//Proceedings of Medical Image Computing and Computer Assisted Intervention(MICCAI 2018),2018:101-108.
[48] KAUPPI T,KALESNYKIENE V,KAMARAINEN J K,et diabetic retinopathy database and evaluation protocol[C]//Proceedings of the British Machine Vision Conference,2007:1-18.
[49] FANG L Y,CUNEFARE D,WANG C,et segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search[J].Biomedical Optics Express,2017,8(5):2732-2744.
[50] SUI X D,ZHENG Y J,WEI B Z,et segmentation from optical coherence tomography with graphedge weights learned from deep convolutional neural networks[J].Neurocomputing,2017.237:332-341.
[51] SCHLEGL T,WALDSTEIN S M,VOGL W D,et semantic descriptions from medical images with convolutional neural networks[J].Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks,2015,24:437-448.
[52] ROY A G,CONJETI S,KARRI S P K,et :Retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks[J].Biomedical Optics Express,2017,8(8):3627-3642.
[53] CHIU S J,ALLINGHAM M J,METTU P S,et regression based segmentation of optical coherence tomography images with diabetic macular edema[J].Biomedical Optics Express,2015,6(4):1172-1194.
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