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title abstract layout series publisher issn id month tex_title firstpage lastpage page order cycles bibtex_author author date address container-title volume genre issued pdf extras
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images
Multiplex Immunohistochemistry (mIHC) is a cost-effective and accessible method for in situ labeling of multiple protein biomarkers in a tissue sample. By assigning a different stain to each biomarker, it allows the visualization of different types of cells within the tumor vicinity for downstream analysis. However, to detect different types of stains in a given mIHC image is a challenging problem, especially when the number of stains is high. Previous deep-learning-based methods mostly assume full supervision; yet the annotation can be costly. In this paper, we propose a novel unsupervised stain decomposition method to detect different stains simultaneously. Our method does not require any supervision, except for color samples of different stains. A main technical challenge is that the problem is underdetermined and can have multiple solutions. To conquer this issue, we propose a novel inversion regulation technique, which eliminates most undesirable solutions. On a 7-plexed IHC image dataset, the proposed method achieves high quality stain decomposition results without human annotation.
inproceedings
Proceedings of Machine Learning Research
PMLR
2640-3498
abousamra24a
0
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images
74
94
74-94
74
false
Abousamra, Shahira and Fassler, Danielle and Yao, Jiachen and Gupta, Rajarsi R. and Kurc, Tahsin and Escobar-Hoyos, Luisa and Samaras, Dimitris and Shroyer, Kenneth and Saltz, Joel and Chen, Chao
given family
Shahira
Abousamra
given family
Danielle
Fassler
given family
Jiachen
Yao
given family
Rajarsi R.
Gupta
given family
Tahsin
Kurc
given family
Luisa
Escobar-Hoyos
given family
Dimitris
Samaras
given family
Kenneth
Shroyer
given family
Joel
Saltz
given family
Chao
Chen
2024-01-23
Medical Imaging with Deep Learning
227
inproceedings
date-parts
2024
1
23