Influence of magnification in deep learning aided image segmentation in histological digital image analysis

Kris D. McCombe; Stephanie G. Craig; Jacqueline A. James; Richard Gault

doi:10.56541/RAKL2135

Influence of magnification in deep learning aided image segmentation in histological digital image analysis

Kris D. McCombe^*, Stephanie G. Craig, Jacqueline A. James, Richard Gault

^*Corresponding author for this work

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

224 Downloads (Pure)

Abstract

The use of digital pathology has grown significantly for both healthcare and research purposes in recent years. With this comes opportunity to develop systems supported by computer vision (CV) and artificial intelligence (AI), with the potential to improve patient management and quality of care. The accessibility of CV and AI toolboxes have resulted in the rapid application of image analysis in this domain driven by accuracy related metrics. However, in this short paper we illustrate common pitfalls in the field through a semantic segmentation task, specifically how magnification can influence training data quality and demonstrate how this can ultimately affect model robustness.

Original language	English
Title of host publication	Proceedings of the 24th Irish Machine Vision and Image Processing Conference
Publisher	Irish Pattern Recognition & Classification Society
Pages	161-164
ISBN (Electronic)	9780993420771
DOIs	https://doi.org/10.56541/RAKL2135
Publication status	Published - 31 Aug 2022
Event	24th Irish Machine Vision and Image Processing Conference 2022 - Queen's University Belfast, Belfast, United Kingdom Duration: 31 Aug 2022 → 02 Sept 2022 https://imvipconference.github.io/ https://imvipconference.github.io/IMVIP2022_Proceedings.pdf

Conference

Conference	24th Irish Machine Vision and Image Processing Conference 2022
Abbreviated title	IMVIP 2022
Country/Territory	United Kingdom
City	Belfast
Period	31/08/2022 → 02/09/2022
Internet address	https://imvipconference.github.io/ https://imvipconference.github.io/IMVIP2022_Proceedings.pdf

Access to Document

10.56541/RAKL2135Licence: Unspecified

Influence of magnification in deep learning aided image segmentation in histological digital image analysis
Copyright 2022 The Authors and IPRCS. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 216 KBLicence: Unspecified

1 Membership of national or international committees and working groups
1 Other

Best abstract and oral presentation at International Spatial Biology Congress 2022
McCombe, K. (Recipient), James, J. (Supervisor), Craig, S. (Supervisor) & Gault, R. (Supervisor)
21 Sept 2022
Activity: Other activity types › Other
Irish Pattern Recognition and Classification Society (External organisation)
Gault, R. (Advisor)
02 Sept 2022 → 2025
Activity: Membership types › Membership of national or international committees and working groups

The prognostic value of tertiary lymphoid structures in cancer; a digital pathology and artificial intelligence approach
McCombe, K. D. (Author), Craig, S. (Supervisor), Gault, R. (Supervisor) & James, J. (Supervisor), Dec 2024
Student thesis: Doctoral Thesis › Doctor of Philosophy

1 Article
1 Working paper

Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images
Moyes, A., Gault, R., Zhang, K., Ming, J., Crookes, D. & Wang, J., Jan 2023, In: Medical Image Analysis. 83, 10 p., 102640.
Research output: Contribution to journal › Article › peer-review

Open Access
File
15 Citations (Scopus)

136 Downloads (Pure)
HistoClean: open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks
McCombe, K. D., Craig, S. G., Viratham Pulsawatdi, A., Quezada-Marín, J. I., Hagan, M., Rajendran, S., Humphries, M. P., Bingham, V., Salto-Tellez, M., Gault, R. & James, J. A., 26 Aug 2021.
Research output: Working paper

File

Cite this

@inproceedings{3f2e3ea4629a45b495822910e5e8848c,

title = "Influence of magnification in deep learning aided image segmentation in histological digital image analysis",

abstract = "The use of digital pathology has grown significantly for both healthcare and research purposes in recent years. With this comes opportunity to develop systems supported by computer vision (CV) and artificial intelligence (AI), with the potential to improve patient management and quality of care. The accessibility of CV and AI toolboxes have resulted in the rapid application of image analysis in this domain driven by accuracy related metrics. However, in this short paper we illustrate common pitfalls in the field through a semantic segmentation task, specifically how magnification can influence training data quality and demonstrate how this can ultimately affect model robustness.",

author = "McCombe, {Kris D.} and Craig, {Stephanie G.} and James, {Jacqueline A.} and Richard Gault",

year = "2022",

month = aug,

day = "31",

doi = "10.56541/RAKL2135",

language = "English",

pages = "161--164",

booktitle = "Proceedings of the 24th Irish Machine Vision and Image Processing Conference",

publisher = "Irish Pattern Recognition & Classification Society",

note = "24th Irish Machine Vision and Image Processing Conference 2022, IMVIP 2022 ; Conference date: 31-08-2022 Through 02-09-2022",

url = "https://imvipconference.github.io/, https://imvipconference.github.io/IMVIP2022_Proceedings.pdf",

}

McCombe, KD , Craig, SG , James, JA & Gault, R 2022, Influence of magnification in deep learning aided image segmentation in histological digital image analysis. in Proceedings of the 24th Irish Machine Vision and Image Processing Conference. Irish Pattern Recognition & Classification Society, pp. 161-164, 24th Irish Machine Vision and Image Processing Conference 2022, Belfast, United Kingdom, 31/08/2022. https://doi.org/10.56541/RAKL2135

Influence of magnification in deep learning aided image segmentation in histological digital image analysis. / McCombe, Kris D.; Craig, Stephanie G.; James, Jacqueline A. et al.
Proceedings of the 24th Irish Machine Vision and Image Processing Conference. Irish Pattern Recognition & Classification Society, 2022. p. 161-164.

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

TY - GEN

T1 - Influence of magnification in deep learning aided image segmentation in histological digital image analysis

AU - McCombe, Kris D.

AU - Craig, Stephanie G.

AU - James, Jacqueline A.

AU - Gault, Richard

PY - 2022/8/31

Y1 - 2022/8/31

N2 - The use of digital pathology has grown significantly for both healthcare and research purposes in recent years. With this comes opportunity to develop systems supported by computer vision (CV) and artificial intelligence (AI), with the potential to improve patient management and quality of care. The accessibility of CV and AI toolboxes have resulted in the rapid application of image analysis in this domain driven by accuracy related metrics. However, in this short paper we illustrate common pitfalls in the field through a semantic segmentation task, specifically how magnification can influence training data quality and demonstrate how this can ultimately affect model robustness.

AB - The use of digital pathology has grown significantly for both healthcare and research purposes in recent years. With this comes opportunity to develop systems supported by computer vision (CV) and artificial intelligence (AI), with the potential to improve patient management and quality of care. The accessibility of CV and AI toolboxes have resulted in the rapid application of image analysis in this domain driven by accuracy related metrics. However, in this short paper we illustrate common pitfalls in the field through a semantic segmentation task, specifically how magnification can influence training data quality and demonstrate how this can ultimately affect model robustness.

U2 - 10.56541/RAKL2135

DO - 10.56541/RAKL2135

M3 - Conference contribution

SP - 161

EP - 164

BT - Proceedings of the 24th Irish Machine Vision and Image Processing Conference

PB - Irish Pattern Recognition & Classification Society

T2 - 24th Irish Machine Vision and Image Processing Conference 2022

Y2 - 31 August 2022 through 2 September 2022

ER -

Influence of magnification in deep learning aided image segmentation in histological digital image analysis

Abstract

Conference

Access to Document

Fingerprint

Activities

Best abstract and oral presentation at International Spatial Biology Congress 2022

Irish Pattern Recognition and Classification Society (External organisation)

Student theses

The prognostic value of tertiary lymphoid structures in cancer; a digital pathology and artificial intelligence approach

Research output

Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images

HistoClean: open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks

Cite this