Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis

Shkëmbi G, Müller J, Li Z, Breininger K, Schüffler P, Kainz B (2023)

Publication Type: Conference contribution

Publication year: 2023

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Science and Business Media Deutschland GmbH

Book Volume: 14314 LNCS

Pages Range: 11-20

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Vancouver, BC CA

ISBN: 9783031449918

DOI: 10.1007/978-3-031-44992-5_2

Abstract

Breast cancer is a major concern for women’s health globally, with axillary lymph node (ALN) metastasis identification being critical for prognosis evaluation and treatment guidance. This paper presents a deep learning (DL) classification pipeline for quantifying clinical information from digital core-needle biopsy (CNB) images, with one step less than existing methods. A publicly available dataset of 1058 patients was used to evaluate the performance of different baseline state-of-the-art (SOTA) DL models in classifying ALN metastatic status based on CNB images. An extensive ablation study of various data augmentation techniques was also conducted. Finally, the manual tumor segmentation and annotation step performed by the pathologists was assessed. Our proposed training scheme outperformed SOTA by 3.73%. Source code is available here.

Authors with CRIS profile

Johanna Müller Professur für Image Data Exploration and Analysis Zhe Li Professur für Image Data Exploration and Analysis Katharina Breininger Juniorprofessur für Artificial Intelligence in Medical Imaging Bernhard Kainz Professur für Image Data Exploration and Analysis

Involved external institutions

Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Shkëmbi, G., Müller, J., Li, Z., Breininger, K., Schüffler, P., & Kainz, B. (2023). Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. In Binod Bhattarai, Sharib Ali, Anita Rau, Anh Nguyen, Ana Namburete, Razvan Caramalau, Danail Stoyanov (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 11-20). Vancouver, BC, CA: Springer Science and Business Media Deutschland GmbH.

MLA:

Shkëmbi, Glejdis, et al. "Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis." Proceedings of the 1st MICCAI Workshop on Data Engineering in Medical Imaging, DEMI 2023, Vancouver, BC Ed. Binod Bhattarai, Sharib Ali, Anita Rau, Anh Nguyen, Ana Namburete, Razvan Caramalau, Danail Stoyanov, Springer Science and Business Media Deutschland GmbH, 2023. 11-20.

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