Improving Nuclei Classification Performance in HE Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network

Ali Hamad; Ilker Ersoy; Filiz Bunyak

doi:10.1109/AIPR.2018.8707397

Improving Nuclei Classification Performance in HE Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network

Ali Hamad
, Ilker Ersoy
, Filiz Bunyak

University of Missouri-Columbia
University of Missouri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538693063
DOIs	https://doi.org/10.1109/AIPR.2018.8707397
State	Published - Jul 2 2018
Externally published	Yes
Event	2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018 - Washington, United States Duration: Oct 9 2018 → Oct 11 2018

Publication series

Name	Proceedings - Applied Imagery Pattern Recognition Workshop
Volume	2018-October
ISSN (Print)	2164-2516

Conference

Conference	2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018
Country/Territory	United States
City	Washington
Period	10/9/18 → 10/11/18

ASJC Scopus Subject Areas

General Engineering

Keywords

deep learning
fully convolutional regression network
histopathology image analysis.
nucleus classification
nucleus detection

Access to Document

10.1109/AIPR.2018.8707397

Cite this

Hamad, A., Ersoy, I., & Bunyak, F. (2018). Improving Nuclei Classification Performance in HE Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network. In 2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018 Article 8707397 (Proceedings - Applied Imagery Pattern Recognition Workshop; Vol. 2018-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIPR.2018.8707397

Improving Nuclei Classification Performance in HE Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network. / Hamad, Ali; Ersoy, Ilker; Bunyak, Filiz.
2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8707397 (Proceedings - Applied Imagery Pattern Recognition Workshop; Vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hamad, A, Ersoy, I & Bunyak, F 2018, Improving Nuclei Classification Performance in HE Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network. in 2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018., 8707397, Proceedings - Applied Imagery Pattern Recognition Workshop, vol. 2018-October, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018, Washington, United States, 10/9/18. https://doi.org/10.1109/AIPR.2018.8707397

Hamad A, Ersoy I, Bunyak F. Improving Nuclei Classification Performance in HE Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network. In 2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8707397. (Proceedings - Applied Imagery Pattern Recognition Workshop). doi: 10.1109/AIPR.2018.8707397

Hamad, Ali ; Ersoy, Ilker ; Bunyak, Filiz. / Improving Nuclei Classification Performance in HE Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network. 2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings - Applied Imagery Pattern Recognition Workshop).

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title = "Improving Nuclei Classification Performance in HE Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network",

keywords = "deep learning, fully convolutional regression network, histopathology image analysis., nucleus classification, nucleus detection",

author = "Ali Hamad and Ilker Ersoy and Filiz Bunyak",

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Improving Nuclei Classification Performance in HE Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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