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15 March 2023 Automatic detection of tertiary lymphoid structures in whole-slide images of triple-negative breast cancer biopsies (Conference Presentation)
Madeleine S. Durkee, Rebecca Abraham, Marcus R. Clark, Maryellen L. Giger
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Proceedings Volume PC12383, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXI; PC123830A (2023) https://doi.org/10.1117/12.2651958
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Triple-negative breast cancer (TNBC) is defined by a lack of biomarkers in the tumor. This inherent lack of targets results in a lack of effective therapeutic tools. However, immunotherapies have shown promise in treating TNBC. Here, we present computer vision methods for automatic detection of immune cells and larger immune structures in TNBC. We demonstrate accurate cell detection and segmentation in highly-multiplexed, whole-slide images of TNBC biopsies. Additionally, we show preliminary spatial analyses that identify and characterize tertiary lymphoid structures within the tumor. Ultimately, we hope to implement these methods to predict responders and non-responders to immunotherapy regimens for TNBC.
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Madeleine S. Durkee, Rebecca Abraham, Marcus R. Clark, and Maryellen L. Giger "Automatic detection of tertiary lymphoid structures in whole-slide images of triple-negative breast cancer biopsies (Conference Presentation)", Proc. SPIE PC12383, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XXI, PC123830A (15 March 2023); https://doi.org/10.1117/12.2651958
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KEYWORDS
Biopsy
Breast cancer
Lymphatic system
Receptors
Machine learning
Tumors
Diagnostics
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