DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling

Zaiwang Gu; Peng Liu; Kang Zhou; Yuming Jiang; Haoyu Mao; Jun Cheng; Jiang Liu

doi:10.1007/978-3-030-00949-6_30

DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling

Zaiwang Gu, Peng Liu, Kang Zhou, Yuming Jiang, Haoyu Mao, Jun Cheng, Jiang Liu

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

21 Citations (Scopus)

Abstract

The optic disc (OD) segmentation is an important step for fundus image base disease diagnosis. In this paper, we propose a novel and effective method called DeepDisc to segment the OD. It mainly contains two components: atrous convolution and spatial pyramid pooling. The atrous convolution adjusts filter’s field-of-view and controls the resolution of features. In addition, the spatial pyramid pooling module probes convolutional features at multiple scales and encodes global context information. Both of them are used to further boost OD segmentation performance. Finally, we demonstrate that our DeepDisc system achieves state-of-the-art disc segmentation performance on the ORIGA and Messidor datasets without any post-processing strategies, such as dense conditional random field.

Original language	English
Title of host publication	Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings
Editors	Zeike Taylor, Hrvoje Bogunovic, David Snead, Mona K. Garvin, Xin Jan Chen, Francesco Ciompi, Yanwu Xu, Lena Maier-Hein, Mitko Veta, Emanuele Trucco, Danail Stoyanov, Nasir Rajpoot, Jeroen van der Laak, Anne Martel, Stephen McKenna
Publisher	Springer Verlag
Pages	253-260
Number of pages	8
ISBN (Print)	9783030009489
DOIs	https://doi.org/10.1007/978-3-030-00949-6_30
Publication status	Published - 2018
Externally published	Yes
Event	1st International Workshop on Computational Pathology, COMPAY 2018 and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 Held in Conjunction with MICCAI 2018 - Granada, Spain Duration: 16 Sept 2018 → 20 Sept 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11039 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Workshop on Computational Pathology, COMPAY 2018 and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 Held in Conjunction with MICCAI 2018
Country/Territory	Spain
City	Granada
Period	16/09/18 → 20/09/18

Keywords

Atrous convolution
Disc segmentation
Spatial pyramid pooling

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-00949-6_30

Cite this

Gu, Z., Liu, P., Zhou, K., Jiang, Y., Mao, H., Cheng, J., & Liu, J. (2018). DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling. In Z. Taylor, H. Bogunovic, D. Snead, M. K. Garvin, X. J. Chen, F. Ciompi, Y. Xu, L. Maier-Hein, M. Veta, E. Trucco, D. Stoyanov, N. Rajpoot, J. van der Laak, A. Martel, & S. McKenna (Eds.), Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings (pp. 253-260). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11039 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-00949-6_30

Gu, Zaiwang ; Liu, Peng ; Zhou, Kang et al. / DeepDisc : Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling. Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. editor / Zeike Taylor ; Hrvoje Bogunovic ; David Snead ; Mona K. Garvin ; Xin Jan Chen ; Francesco Ciompi ; Yanwu Xu ; Lena Maier-Hein ; Mitko Veta ; Emanuele Trucco ; Danail Stoyanov ; Nasir Rajpoot ; Jeroen van der Laak ; Anne Martel ; Stephen McKenna. Springer Verlag, 2018. pp. 253-260 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{4e34d32a39e24c3f8e56b1f2e80caa32,

title = "DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling",

abstract = "The optic disc (OD) segmentation is an important step for fundus image base disease diagnosis. In this paper, we propose a novel and effective method called DeepDisc to segment the OD. It mainly contains two components: atrous convolution and spatial pyramid pooling. The atrous convolution adjusts filter{\textquoteright}s field-of-view and controls the resolution of features. In addition, the spatial pyramid pooling module probes convolutional features at multiple scales and encodes global context information. Both of them are used to further boost OD segmentation performance. Finally, we demonstrate that our DeepDisc system achieves state-of-the-art disc segmentation performance on the ORIGA and Messidor datasets without any post-processing strategies, such as dense conditional random field.",

keywords = "Atrous convolution, Disc segmentation, Spatial pyramid pooling",

author = "Zaiwang Gu and Peng Liu and Kang Zhou and Yuming Jiang and Haoyu Mao and Jun Cheng and Jiang Liu",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 1st International Workshop on Computational Pathology, COMPAY 2018 and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 Held in Conjunction with MICCAI 2018 ; Conference date: 16-09-2018 Through 20-09-2018",

year = "2018",

doi = "10.1007/978-3-030-00949-6_30",

language = "English",

isbn = "9783030009489",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "253--260",

editor = "Zeike Taylor and Hrvoje Bogunovic and David Snead and Garvin, {Mona K.} and Chen, {Xin Jan} and Francesco Ciompi and Yanwu Xu and Lena Maier-Hein and Mitko Veta and Emanuele Trucco and Danail Stoyanov and Nasir Rajpoot and {van der Laak}, Jeroen and Anne Martel and Stephen McKenna",

booktitle = "Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings",

address = "Germany",

}

Gu, Z, Liu, P, Zhou, K, Jiang, Y, Mao, H, Cheng, J & Liu, J 2018, DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling. in Z Taylor, H Bogunovic, D Snead, MK Garvin, XJ Chen, F Ciompi, Y Xu, L Maier-Hein, M Veta, E Trucco, D Stoyanov, N Rajpoot, J van der Laak, A Martel & S McKenna (eds), Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11039 LNCS, Springer Verlag, pp. 253-260, 1st International Workshop on Computational Pathology, COMPAY 2018 and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 Held in Conjunction with MICCAI 2018, Granada, Spain, 16/09/18. https://doi.org/10.1007/978-3-030-00949-6_30

DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling. / Gu, Zaiwang; Liu, Peng; Zhou, Kang et al.
Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. ed. / Zeike Taylor; Hrvoje Bogunovic; David Snead; Mona K. Garvin; Xin Jan Chen; Francesco Ciompi; Yanwu Xu; Lena Maier-Hein; Mitko Veta; Emanuele Trucco; Danail Stoyanov; Nasir Rajpoot; Jeroen van der Laak; Anne Martel; Stephen McKenna. Springer Verlag, 2018. p. 253-260 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11039 LNCS).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - DeepDisc

T2 - 1st International Workshop on Computational Pathology, COMPAY 2018 and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 Held in Conjunction with MICCAI 2018

AU - Gu, Zaiwang

AU - Liu, Peng

AU - Zhou, Kang

AU - Jiang, Yuming

AU - Mao, Haoyu

AU - Cheng, Jun

AU - Liu, Jiang

PY - 2018

Y1 - 2018

N2 - The optic disc (OD) segmentation is an important step for fundus image base disease diagnosis. In this paper, we propose a novel and effective method called DeepDisc to segment the OD. It mainly contains two components: atrous convolution and spatial pyramid pooling. The atrous convolution adjusts filter’s field-of-view and controls the resolution of features. In addition, the spatial pyramid pooling module probes convolutional features at multiple scales and encodes global context information. Both of them are used to further boost OD segmentation performance. Finally, we demonstrate that our DeepDisc system achieves state-of-the-art disc segmentation performance on the ORIGA and Messidor datasets without any post-processing strategies, such as dense conditional random field.

AB - The optic disc (OD) segmentation is an important step for fundus image base disease diagnosis. In this paper, we propose a novel and effective method called DeepDisc to segment the OD. It mainly contains two components: atrous convolution and spatial pyramid pooling. The atrous convolution adjusts filter’s field-of-view and controls the resolution of features. In addition, the spatial pyramid pooling module probes convolutional features at multiple scales and encodes global context information. Both of them are used to further boost OD segmentation performance. Finally, we demonstrate that our DeepDisc system achieves state-of-the-art disc segmentation performance on the ORIGA and Messidor datasets without any post-processing strategies, such as dense conditional random field.

KW - Atrous convolution

KW - Disc segmentation

KW - Spatial pyramid pooling

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U2 - 10.1007/978-3-030-00949-6_30

DO - 10.1007/978-3-030-00949-6_30

M3 - Conference contribution

AN - SCOPUS:85053868493

SN - 9783030009489

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 253

EP - 260

BT - Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings

A2 - Taylor, Zeike

A2 - Bogunovic, Hrvoje

A2 - Snead, David

A2 - Garvin, Mona K.

A2 - Chen, Xin Jan

A2 - Ciompi, Francesco

A2 - Xu, Yanwu

A2 - Maier-Hein, Lena

A2 - Veta, Mitko

A2 - Trucco, Emanuele

A2 - Stoyanov, Danail

A2 - Rajpoot, Nasir

A2 - van der Laak, Jeroen

A2 - Martel, Anne

A2 - McKenna, Stephen

PB - Springer Verlag

Y2 - 16 September 2018 through 20 September 2018

ER -

Gu Z, Liu P, Zhou K, Jiang Y, Mao H, Cheng J et al. DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling. In Taylor Z, Bogunovic H, Snead D, Garvin MK, Chen XJ, Ciompi F, Xu Y, Maier-Hein L, Veta M, Trucco E, Stoyanov D, Rajpoot N, van der Laak J, Martel A, McKenna S, editors, Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. Springer Verlag. 2018. p. 253-260. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-00949-6_30

DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling

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Keywords

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