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A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification.

Y. Du, R. Zhang, A. Zargari, T. Thai, C. Gunderson, K. Moxley, H. Liu, B. Zheng, and Y. Qiu. Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 1058116. SPIE, (2018)

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Zheng-Zheng Kuang

Bin Zhao

Bin Xu

Bin Peng

Bin Hu

Other publications of authors with the same name

Applying a random projection algorithm to optimize machine learning model for breast lesion classification.M. Heidari, S. Lakshmivarahan, S. Mirniaharikandehei, G. Danala, S. Maryada, H. Liu, and B. Zheng. CoRR, (2020)Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis.W. Sun, B. Zheng, and W. Qian. Comput. Biol. Medicine, (2017)A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural Network.W. Sun, T. Tseng, B. Zheng, and W. Qian. Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 385-391. Springer, (2016)Evaluation of company investment value based on machine learning.J. Hu, X. Li, Y. Xu, S. Wu, and B. Zheng. CoRR, (2020)Some New Gronwall-Bellman-Type Inequalities on Time Scales and Their Applications.B. Zheng, Q. Feng, and F. Meng. J. Appl. Math., (2013)Some New Delay Integral Inequalities in Two Independent Variables on Time Scales.B. Zheng, Y. Zhang, and Q. Feng. J. Appl. Math., (2011)Robust Anti-Disturbance Coordinated Control for Multiple Manipulators.J. Fu, Y. Li, S. Yin, B. Zheng, and J. Yuan. IEEE Access, (2020)Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images.S. Mirniaharikandehei, M. Heidari, G. Danala, S. Lakshmivarahan, and B. Zheng. CoRR, (2020)Pupil dilations during target-pointing respect Fitts' law.X. Jiang, M. Atkins, G. Tien, B. Zheng, and R. Bednarik. ETRA, page 175-182. ACM, (2014)Measuring gaze overlap on videos between multiple observers.G. Tien, M. Atkins, and B. Zheng. ETRA, page 309-312. ACM, (2012)

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Disambiguation of "Zheng, Bin"

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A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification.

Please choose a person to relate this publication to

Zheng-Zheng Kuang

Bin Zhao

Bin Xu

Bin Peng

Bin Hu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zheng, Bin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification.

Please choose a person to relate this publication to

Zheng-Zheng Kuang

Bin Zhao

Bin Xu

Bin Peng

Bin Hu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification.