Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays

Ammeling J, Schmidt LH, Ganz J, Niedermair T, Brochhausen-Delius C, Schulz C, Breininger K, Aubreville M (2023)

Publication Type: Conference contribution

Publication year: 2023

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Science and Business Media Deutschland GmbH

Pages Range: 220-225

Conference Proceedings Title: Informatik aktuell

Event location: Braunschweig, DEU

ISBN: 9783658416560

DOI: 10.1007/978-3-658-41657-7_48

Abstract

Attention-based multiple instance learning (AMIL) algorithms have proven to be successful in utilizing gigapixel whole-slide images (WSIs) for a variety of different computational pathology tasks such as outcome prediction and cancer subtyping problems. We extended an AMIL approach to the task of survival prediction by utilizing the classical Cox partial likelihood as a loss function, converting the AMIL model into a nonlinear proportional hazards model. We applied the model to tissue microarray (TMA) slides of 330 lung cancer patients. The results show that AMIL approaches can handle very small amounts of tissue from a TMA and reach similar C-index performance compared to established survival prediction methods trained with highly discriminative clinical factors such as age, cancer grade, and cancer stage.

Authors with CRIS profile

Katharina Breininger Juniorprofessur für Artificial Intelligence in Medical Imaging

Involved external institutions

Technische Hochschule Ingolstadt DE Germany (DE) Klinikum Ingolstadt DE Germany (DE) Universität Regensburg DE Germany (DE) Universitätsklinikum Regensburg DE Germany (DE)

How to cite

APA:

Ammeling, J., Schmidt, L.H., Ganz, J., Niedermair, T., Brochhausen-Delius, C., Schulz, C.,... Aubreville, M. (2023). Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 220-225). Braunschweig, DEU: Springer Science and Business Media Deutschland GmbH.

MLA:

Ammeling, Jonas, et al. "Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays." Proceedings of the Bildverarbeitung für die Medizin Workshop, BVM 2023, Braunschweig, DEU Ed. Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2023. 220-225.

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