Registration of histopathology images using self supervised fine grained feature maps

James Tong; Dwarikanath Mahapatra; Paul Bonnington; Tom Drummond; Zongyuan Ge

doi:10.1007/978-3-030-60548-3_5

Registration of histopathology images using self supervised fine grained feature maps

James Tong, Dwarikanath Mahapatra, Paul Bonnington, Tom Drummond, Zongyuan Ge

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

3 Citations (Scopus)

Abstract

Image registration is an important part of many clinical workflows and inclusion of segmentation information of structures of interest improves registration performance. We propose to integrate segmentation information in a registration framework using fine grained feature maps obtained in a self supervised manner. Self supervised feature maps enables use of segmentation information despite the unavailability of manual segmentations. Experimental results show our approach effectively replaces manual segmentation maps and demonstrate the possibility of obtaining state of the art registration performance in real world cases where manual segmentation maps are unavailable.

Original language	English
Title of host publication	Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
Subtitle of host publication	Second MICCAI Workshop, DART 2020, and 1st MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Proceedings
Editors	Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	41-51
Number of pages	11
Edition	1st
ISBN (Electronic)	9783030605483
ISBN (Print)	9783030605476
DOIs	https://doi.org/10.1007/978-3-030-60548-3_5
Publication status	Published - 2020
Event	MICCAI Workshop on Domain Adaptation and Representation Transfer 2020 - Lima, Peru Duration: 4 Oct 2020 → 8 Oct 2020 Conference number: 2nd https://link.springer.com/book/10.1007/978-3-030-60548-3 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	12444 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	MICCAI Workshop on Domain Adaptation and Representation Transfer 2020
Abbreviated title	DART 2020
Country/Territory	Peru
City	Lima
Period	4/10/20 → 8/10/20
Other	Held in conjunction with Medical Image Computing and Computer-Assisted Intervention 2020 (MICCAI 2020)
Internet address	https://link.springer.com/book/10.1007/978-3-030-60548-3 (Proceedings)

Keywords

Fine grained segmentation
Histopathology
Registration

Access to Document

10.1007/978-3-030-60548-3_5

Cite this

Tong, J., Mahapatra, D., Bonnington, P., Drummond, T., & Ge, Z. (2020). Registration of histopathology images using self supervised fine grained feature maps. In S. Albarqouni, S. Bakas, K. Kamnitsas, M. J. Cardoso, B. Landman, W. Li, F. Milletari, N. Rieke, H. Roth, D. Xu, & Z. Xu (Eds.), Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and 1st MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Proceedings (1st ed., pp. 41-51). (Lecture Notes in Computer Science; Vol. 12444 LNCS). Springer. https://doi.org/10.1007/978-3-030-60548-3_5

Tong, James ; Mahapatra, Dwarikanath ; Bonnington, Paul et al. / Registration of histopathology images using self supervised fine grained feature maps. Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and 1st MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Proceedings. editor / Shadi Albarqouni ; Spyridon Bakas ; Konstantinos Kamnitsas ; M. Jorge Cardoso ; Bennett Landman ; Wenqi Li ; Fausto Milletari ; Nicola Rieke ; Holger Roth ; Daguang Xu ; Ziyue Xu. 1st. ed. Cham Switzerland : Springer, 2020. pp. 41-51 (Lecture Notes in Computer Science).

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title = "Registration of histopathology images using self supervised fine grained feature maps",

abstract = "Image registration is an important part of many clinical workflows and inclusion of segmentation information of structures of interest improves registration performance. We propose to integrate segmentation information in a registration framework using fine grained feature maps obtained in a self supervised manner. Self supervised feature maps enables use of segmentation information despite the unavailability of manual segmentations. Experimental results show our approach effectively replaces manual segmentation maps and demonstrate the possibility of obtaining state of the art registration performance in real world cases where manual segmentation maps are unavailable.",

keywords = "Fine grained segmentation, Histopathology, Registration",

author = "James Tong and Dwarikanath Mahapatra and Paul Bonnington and Tom Drummond and Zongyuan Ge",

year = "2020",

doi = "10.1007/978-3-030-60548-3_5",

language = "English",

isbn = "9783030605476",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

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editor = "Shadi Albarqouni and Spyridon Bakas and Konstantinos Kamnitsas and Cardoso, {M. Jorge} and Bennett Landman and Wenqi Li and Fausto Milletari and Nicola Rieke and Holger Roth and Daguang Xu and Ziyue Xu",

booktitle = "Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning",

edition = "1st",

note = "MICCAI Workshop on Domain Adaptation and Representation Transfer 2020, DART 2020 ; Conference date: 04-10-2020 Through 08-10-2020",

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Tong, J, Mahapatra, D, Bonnington, P, Drummond, T & Ge, Z 2020, Registration of histopathology images using self supervised fine grained feature maps. in S Albarqouni, S Bakas, K Kamnitsas, MJ Cardoso, B Landman, W Li, F Milletari, N Rieke, H Roth, D Xu & Z Xu (eds), Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and 1st MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Proceedings. 1st edn, Lecture Notes in Computer Science, vol. 12444 LNCS, Springer, Cham Switzerland, pp. 41-51, MICCAI Workshop on Domain Adaptation and Representation Transfer 2020, Lima, Peru, 4/10/20. https://doi.org/10.1007/978-3-030-60548-3_5

Registration of histopathology images using self supervised fine grained feature maps. / Tong, James; Mahapatra, Dwarikanath; Bonnington, Paul et al.

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and 1st MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Proceedings. ed. / Shadi Albarqouni; Spyridon Bakas; Konstantinos Kamnitsas; M. Jorge Cardoso; Bennett Landman; Wenqi Li; Fausto Milletari; Nicola Rieke; Holger Roth; Daguang Xu; Ziyue Xu. 1st. ed. Cham Switzerland : Springer, 2020. p. 41-51 (Lecture Notes in Computer Science; Vol. 12444 LNCS).

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

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AU - Mahapatra, Dwarikanath

AU - Bonnington, Paul

AU - Drummond, Tom

AU - Ge, Zongyuan

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AB - Image registration is an important part of many clinical workflows and inclusion of segmentation information of structures of interest improves registration performance. We propose to integrate segmentation information in a registration framework using fine grained feature maps obtained in a self supervised manner. Self supervised feature maps enables use of segmentation information despite the unavailability of manual segmentations. Experimental results show our approach effectively replaces manual segmentation maps and demonstrate the possibility of obtaining state of the art registration performance in real world cases where manual segmentation maps are unavailable.

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A2 - Kamnitsas, Konstantinos

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A2 - Milletari, Fausto

A2 - Rieke, Nicola

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A2 - Xu, Ziyue

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Tong J, Mahapatra D, Bonnington P, Drummond T, Ge Z. Registration of histopathology images using self supervised fine grained feature maps. In Albarqouni S, Bakas S, Kamnitsas K, Cardoso MJ, Landman B, Li W, Milletari F, Rieke N, Roth H, Xu D, Xu Z, editors, Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and 1st MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Proceedings. 1st ed. Cham Switzerland: Springer. 2020. p. 41-51. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-030-60548-3_5

Registration of histopathology images using self supervised fine grained feature maps

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Workshop

Keywords

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