Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation

Milda Pocevičiūtė; Gabriel Eilertsen; Claes Lundström

doi:10.1117/12.2648769

6 April 2023 Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation

Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström

Proceedings Volume 12471, Medical Imaging 2023: Digital and Computational Pathology; 124710W (2023) https://doi.org/10.1117/12.2648769
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

Computational pathology, a developing area of primarily deep learning (DL) solutions aiming to aid pathologists at their daily tasks, has shown promising results in research settings. In recent years, uncertainty estimation has gained substantial recognition as having high potential to bring value to DL algorithms for medical applications. But it is not trivial how to incorporate it with a DL system to obtain a real positive impact. In this work we propose a framework to spatially aggregated epistemic uncertainty in order to detect false negatives produced by a segmentation algorithm of breast cancer metastases. We show a strong correlation between the false negative segmentation areas and the aggregated uncertainty values. Furthermore, the results include examples of reducing false negatives, where the uncertainty approach led to detection of some tumour metastases that had been missed.

Conference Presentation

Citation Download Citation

Milda Pocevičiūtė, Gabriel Eilertsen, and Claes Lundström "Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation", Proc. SPIE 12471, Medical Imaging 2023: Digital and Computational Pathology, 124710W (6 April 2023); https://doi.org/10.1117/12.2648769

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available