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4 April 2022 Cloud-based platform for human-in-the-loop re-annotation of whole slide imaging: large scale semantic pathology segmentation
Jonathan Folmsbee, Scott Doyle, Rakesh Choudhary, Margaret Brandwein-Weber, Jawaria Rahman
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Proceedings Volume 12039, Medical Imaging 2022: Digital and Computational Pathology; 1203912 (2022) https://doi.org/10.1117/12.2613253
Event: SPIE Medical Imaging, 2022, San Diego, California, United States
Abstract
In our previous work, we have demonstrated that it is possible to use a small bootstrap set of fully annotated regions of interest (ROIs) to generate segmentation results on the WSI scale. In this work, pathologists were asked to edit the previously generated annotations on 150 WSIs, focusing on only the tumor class. Of these re-annotated WSIs, 21 were then sampled from, and used to train a new version of the classifier. Segmentation results were then generated for the remainder of the images. This work demonstrates an improvement in segmentation of the tumor class.
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Jonathan Folmsbee, Scott Doyle, Rakesh Choudhary, Margaret Brandwein-Weber, and Jawaria Rahman "Cloud-based platform for human-in-the-loop re-annotation of whole slide imaging: large scale semantic pathology segmentation", Proc. SPIE 12039, Medical Imaging 2022: Digital and Computational Pathology, 1203912 (4 April 2022); https://doi.org/10.1117/12.2613253
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KEYWORDS
Image segmentation
Pathology
Tumors
Digital imaging
Image resolution
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