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

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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 languageEnglish
Title of host publicationProceedings of the 24th Irish Machine Vision and Image Processing Conference
PublisherIrish Pattern Recognition & Classification Society
Pages161-164
ISBN (Electronic)9780993420771
DOIs
Publication statusPublished - 31 Aug 2022
Event24th Irish Machine Vision and Image Processing Conference - Queen's University, Belfast, Belfast, United Kingdom
Duration: 31 Aug 202202 Sept 2022
Conference number: 24
https://imvipconference.github.io/
https://imvipconference.github.io/IMVIP2022_Proceedings.pdf

Conference

Conference24th Irish Machine Vision and Image Processing Conference
Abbreviated titleIMVIP
Country/TerritoryUnited Kingdom
CityBelfast
Period31/08/202202/09/2022
Internet address

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