Efficient cell classification of mitochondrial images by using deep learning-Reference-Cited by-同舟云学术

Efficient cell classification of mitochondrial images by using deep learning

Published:2019-01-09 Issue:1 Volume:48 Page:113-122
ISSN:0972-8821
Container-title:Journal of Optics
language:en
Short-container-title:J Opt

Author:

Iqbal Muhammad Shahid^ORCID,El-Ashram Saeed,Hussain Sajid,Khan Tamoor,Huang Shujian,Mehmood Rashid,Luo Bin

Publisher

Springer Science and Business Media LLC

Subject

Atomic and Molecular Physics, and Optics

Link

http://link.springer.com/content/pdf/10.1007/s12596-018-0508-4.pdf

Reference39 articles.

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2. A. Karpathy et al., The Unreasonable Effectiveness of Recurrent Neural Networks. github. http://karpathygithub.io/2015/05/21/rnn-effectiveness (2015)

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4. V. Gulshan et al., Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. Jama 22, 2402–2410 (2016). https://doi.org/10.1001/jama.2016.17216

5. G. Litjens et al., A survey on deep learning in medical image analysis. Med. Image Anal. 42, 60–88 (2017). https://doi.org/10.1016/j.media.2017.07.005

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