Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference30 articles.
1. Yu Q, Yang Y, Liu F, Song Y-Z, Xiang T, Hospedales TM: Sketch-A-Net: a deep neural network that beats humans. Int J Comput Vis. 122(3):411–425, 2017.
https://doi.org/10.1007/s11263-016-0932-3
2. Dodge S, Karam L. A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions. arXiv:170502498 [cs]. May 2017.
http://arxiv.org/abs/1705.02498
3. Krizhevsky A, Sutskever I, Hinton GE. ImageNet Classification with Deep Convolutional Neural Networks. In: Pereira F, Burges CJC, Bottou L, Weinberger KQ, eds. Advances in Neural Information Processing Systems 25. 2012:1097–1105.
http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
4. Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J, Kim R, Raman R, Nelson PC, Mega JL, Webster DR: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA. 316(22):2402–2410, 2016.
https://doi.org/10.1001/jama.2016.17216
5. Ting DSW, Cheung CY-L, Lim G et al.: Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes. JAMA. 318(22):2211–2223, 2017.
https://doi.org/10.1001/jama.2017.18152
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