Multimarginal Wasserstein barycenter for stain normalization and augmentation Conference Paper
| Authors: | Nadeem, S.; Hollmann, T.; Tannenbaum, A. |
| Title: | Multimarginal Wasserstein barycenter for stain normalization and augmentation |
| Conference Title: | 23rd International Conference of Medical Image Computing and Computer Assisted Intervention (MICCAI 2020) |
| Abstract: | Variations in hematoxylin and eosin (H&E) stained images (due to clinical lab protocols, scanners, etc) directly impact the quality and accuracy of clinical diagnosis, and hence it is important to control for these variations for a reliable diagnosis. In this work, we present a new approach based on the multimarginal Wasserstein barycenter to normalize and augment H&E stained images given one or more references. Specifically, we provide a mathematically robust way of naturally incorporating additional images as intermediate references to drive stain normalization and augmentation simultaneously. The presented approach showed superior results quantitatively and qualitatively as compared to state-of-the-art methods for stain normalization. We further validated our stain normalization and augmentations in the nuclei segmentation task on a publicly available dataset, achieving state-of-the-art results against competing approaches. © 2020, Springer Nature Switzerland AG. |
| Keywords: | medical imaging; diagnosis; medical computing; clinical diagnosis; state of the art; state-of-the-art methods; stain normalization; wasserstein barycenter; barycenters; lab protocols; new approaches; nuclei segmentation |
| Journal Title | Lecture Notes in Computer Science |
| Volume: | 12265 |
| Conference Dates: | 2020 Oct 4-8 |
| Conference Location: | Lima, Peru |
| ISBN: | 0302-9743 |
| Publisher: | Springer |
| Date Published: | 2020-01-01 |
| Start Page: | 362 |
| End Page: | 371 |
| Language: | English |
| DOI: | 10.1007/978-3-030-59722-1_35 |
| PROVIDER: | scopus |
| PUBMED: | 33458721 |
| PMCID: | PMC7810499 |
| DOI/URL: | |
| Notes: | Conference Paper -- Export Date: 2 November 2020 -- Source: Scopus |
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