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Title: Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis

Authors:
; ; ; ; ; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research
OSTI Identifier:
1643221
Grant/Contract Number:  
2018C03082
Resource Type:
Published Article
Journal Name:
Engineering
Additional Journal Information:
Journal Name: Engineering Journal Volume: 7 Journal Issue: 7; Journal ID: ISSN 2095-8099
Publisher:
Elsevier
Country of Publication:
China
Language:
English

Citation Formats

Xu, Yesheng, Kong, Ming, Xie, Wenjia, Duan, Runping, Fang, Zhengqing, Lin, Yuxiao, Zhu, Qiang, Tang, Siliang, Wu, Fei, and Yao, Yu-Feng. Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis. China: N. p., 2021. Web. doi:10.1016/j.eng.2020.04.012.
Xu, Yesheng, Kong, Ming, Xie, Wenjia, Duan, Runping, Fang, Zhengqing, Lin, Yuxiao, Zhu, Qiang, Tang, Siliang, Wu, Fei, & Yao, Yu-Feng. Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis. China. https://doi.org/10.1016/j.eng.2020.04.012
Xu, Yesheng, Kong, Ming, Xie, Wenjia, Duan, Runping, Fang, Zhengqing, Lin, Yuxiao, Zhu, Qiang, Tang, Siliang, Wu, Fei, and Yao, Yu-Feng. Thu . "Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis". China. https://doi.org/10.1016/j.eng.2020.04.012.
@article{osti_1643221,
title = {Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis},
author = {Xu, Yesheng and Kong, Ming and Xie, Wenjia and Duan, Runping and Fang, Zhengqing and Lin, Yuxiao and Zhu, Qiang and Tang, Siliang and Wu, Fei and Yao, Yu-Feng},
abstractNote = {},
doi = {10.1016/j.eng.2020.04.012},
journal = {Engineering},
number = 7,
volume = 7,
place = {China},
year = {Thu Jul 01 00:00:00 EDT 2021},
month = {Thu Jul 01 00:00:00 EDT 2021}
}

Works referenced in this record:

Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method
journal, August 2017

  • Zhou, Xiangrong; Takayama, Ryosuke; Wang, Song
  • Medical Physics, Vol. 44, Issue 10
  • DOI: 10.1002/mp.12480

Deep learning
journal, May 2015

  • LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey
  • Nature, Vol. 521, Issue 7553
  • DOI: 10.1038/nature14539

GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification
journal, December 2018


The need for uncertainty quantification in machine-assisted medical decision making
journal, January 2019

  • Begoli, Edmon; Bhattacharya, Tanmoy; Kusnezov, Dimitri
  • Nature Machine Intelligence, Vol. 1, Issue 1
  • DOI: 10.1038/s42256-018-0004-1

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
journal, February 2018


Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
journal, March 2020


LSTM: A Search Space Odyssey
journal, October 2017

  • Greff, Klaus; Srivastava, Rupesh K.; Koutnik, Jan
  • IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, Issue 10
  • DOI: 10.1109/TNNLS.2016.2582924

On visual knowledge
journal, August 2019

  • Pan, Yun-he
  • Frontiers of Information Technology & Electronic Engineering, Vol. 20, Issue 8
  • DOI: 10.1631/FITEE.1910001

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
journal, May 2019


Retinal Lesion Detection With Deep Learning Using Image Patches
journal, January 2018

  • Lam, Carson; Yu, Caroline; Huang, Laura
  • Investigative Opthalmology & Visual Science, Vol. 59, Issue 1
  • DOI: 10.1167/iovs.17-22721

Designed Host Defense Peptides for the Treatment of Bacterial Keratitis
journal, December 2017

  • Clemens, L. Edward; Jaynes, Jesse; Lim, Edward
  • Investigative Opthalmology & Visual Science, Vol. 58, Issue 14
  • DOI: 10.1167/iovs.17-22243

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
journal, December 2017

  • Ehteshami Bejnordi, Babak; Veta, Mitko; Johannes van Diest, Paul
  • JAMA, Vol. 318, Issue 22
  • DOI: 10.1001/jama.2017.14585

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
conference, January 2014

  • Cho, Kyunghyun; van Merrienboer, Bart; Gulcehre, Caglar
  • Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  • DOI: 10.3115/v1/D14-1179

Deep Learning in Medical Image Analysis
journal, June 2017


Development of machine learning models for diagnosis of glaucoma
journal, May 2017


Challenges and opportunities: from big data to knowledge in AI 2.0
journal, January 2017

  • Zhuang, Yue-ting; Wu, Fei; Chen, Chun
  • Frontiers of Information Technology & Electronic Engineering, Vol. 18, Issue 1
  • DOI: 10.1631/FITEE.1601883

MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction
journal, June 2020

  • He, Tao; Guo, Jixiang; Chen, Nan
  • IEEE Journal of Biomedical and Health Informatics, Vol. 24, Issue 6
  • DOI: 10.1109/JBHI.2019.2949601

A Survey on Transfer Learning
journal, October 2010

  • Pan, Sinno Jialin; Yang, Qiang
  • IEEE Transactions on Knowledge and Data Engineering, Vol. 22, Issue 10
  • DOI: 10.1109/TKDE.2009.191

A survey on deep learning in medical image analysis
journal, December 2017


Global estimates of visual impairment: 2010
journal, December 2011


Hierarchical clustering to measure connectivity in fMRI resting-state data
journal, May 2002


Training Recurrent Networks by Evolino
journal, March 2007


Split-and-Merge Segmentation of Magnetic Resonance Medical Images: Performance Evaluation and Extension to Three Dimensions
journal, December 1998

  • Manousakas, I. N.; Undrill, P. E.; Cameron, G. G.
  • Computers and Biomedical Research, Vol. 31, Issue 6
  • DOI: 10.1006/cbmr.1998.1489

Long Short-Term Memory
journal, November 1997


Reducing the Dimensionality of Data with Neural Networks
journal, July 2006


Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study
journal, December 2018


Automated segmentation of the left ventricle in cardiac MRI
journal, September 2004


The use of sequential pattern mining to predict next prescribed medications
journal, February 2015

  • Wright, Aileen P.; Wright, Adam T.; McCoy, Allison B.
  • Journal of Biomedical Informatics, Vol. 53
  • DOI: 10.1016/j.jbi.2014.09.003

Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram
journal, January 2019


Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs
journal, February 2019


Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
journal, April 2020

  • Wu, Nan; Phang, Jason; Park, Jungkyu
  • IEEE Transactions on Medical Imaging, Vol. 39, Issue 4
  • DOI: 10.1109/TMI.2019.2945514

Dermatologist-level classification of skin cancer with deep neural networks
journal, January 2017

  • Esteva, Andre; Kuprel, Brett; Novoa, Roberto A.
  • Nature, Vol. 542, Issue 7639
  • DOI: 10.1038/nature21056

Challenges of Ophthalmic Care in the Developing World
journal, May 2014


Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
journal, January 2019