Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 89-94.doi: 10.11896/jsjkx.201000116
• Image Processing & Multimedia Technology • Previous Articles Next Articles
LIU Han-qing1, KANG Xiao-dong1, LI Bo2, ZHANG Hua-li1, FENG Ji-chao1, HAN Jun-ling1
CLC Number:
| [1] KANG X D.Medical Image Processing[M].People's MedicalPublishing House,2009:200. [2] HINTON G E,SALAKHUTDINOV R R.Reducing the dimensionality of data with neural networks[J].Science,2006,313(5786):504-507. [3] GUO L L,DING S F.Research Progress on Deep Learning[J].Computer Science,2015,42(5):28-33. [4] KRIZHEVSKY A,SUTSKEVER I,INTON G E.Imagenetclassification with deep convolutional neural networks[C]//Advances in Neural Information Processing Systems.2012:1097-1105. [5] RUSSAKOVSKY O.Imagenet large scale visual recognitionchallenge[J].International Journal of Computer Vision,2015,115(3):211-252. [6] SUN Y,WANG X,TANG X.Deep learning face representation from predicting 10,000 classes[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2014:1891-1898. [7] YANG W G,HUAI Y J.Flower Image Enhancement and Classification Based on Deep Convolution Generative Adversarial Network[J].Computer Science,2020,47(6):182-185. [8] HAO Y,DONG L,WEI F,et al.Visualizing and understandingthe effectiveness of BERT[J].arXiv:1908.05620,2019. [9] VASHISHTH S,UPADHYAY S,TOMAR G S,et al.Attention interpretability across nlp tasks[J].arXiv:1909.11218,2019. [10] GRAVES A,MOHAMED A R,HINTON G.Speech recognitionwith deep recurrent neural networks[C]//2013 IEEE International Conference on Acoustics,Speech and Signal Processing.IEEE,2013:6645-6649. [11] SAK H,SENIOR A,RAO K,et al.Fast and accurate recurrent neural network acoustic models for speech recognition[J].ar-Xiv:1507.06947,2015. [12] ANTONY J,MCGUINNESS K,O'CONNOR N E,et al.Quantifying radiographic knee osteoarthritis severity using deep con-volutional neural networks[C]//2016 23rd International Confe-rence on Pattern Recognition (ICPR).IEEE,2016:1195-1200. [13] HASHIMOTO N.Multi-scale Domain-adversarial Multiple-in-stance CNN for Cancer Subtype Classification with Unannotated Histopathological Images[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2020:3852-3861. [14] GAO X T,LIN S,WONG T Y.Automatic feature learning to grade nuclear cataracts based on deep learning[J].IEEE Trans on Biomedical Engineering,2015,62(11):2693-2701. [15] TALO M,YILDIRIM O,BALOGLU U B,et al.Convolutional neural networks for multi-class brain disease detection using MRI images[J].Computerized Medical Imaging and Graphics,2019,78:101673. [16] ABDEL-ZAHER A M,ELDEIB A M.Breast cancer classification using deep belief networks[J].Expert Systems with Applications,2016,46:139-144. [17] FRID-ADAR M,DIAMANT I,KLANG E,et al.GAN-basedsynthetic medical image augmentation for increased CNN performance in liver lesion classification[J].Neurocomputing,2018,321:321-331. [18] GLOROT X,BENGIO Y.Understanding the difficulty of training deep feedforward neural networks[C]//Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics.2010:249-256. [19] HE K,ZHANG X,REN S,et al.Identity mappings in deep residual networks[C]//European Conference on Computer Vision.Springer,2016:630-645. |
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