A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images
Gerl S, Paetzold JC, He H, Ezhov I, Shit S, Kofler F, Bayat A, Tetteh G, Ntziachristos V, Menze B (2020)
Publication Type: Conference contribution
Publication year: 2020
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 12266 LNCS
Pages Range: 309-319
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Lima, PER
ISBN: 9783030597245
DOI: 10.1007/978-3-030-59725-2_30
Abstract
Raster-scan optoacoustic mesoscopy (RSOM) is a powerful, non-invasive optical imaging technique for functional, anatomical, and molecular skin and tissue analysis. However, both the manual and the automated analysis of such images are challenging, because the RSOM images have very low contrast, poor signal to noise ratio, and systematic overlaps between the absorption spectra of melanin and hemoglobin. Nonetheless, the segmentation of the epidermis layer is a crucial step for many downstream medical and diagnostic tasks, such as vessel segmentation or monitoring of cancer progression. We propose a novel, shape-specific loss function that overcomes discontinuous segmentations and achieves smooth segmentation surfaces while preserving the same volumetric Dice and IoU. Further, we validate our epidermis segmentation through the sensitivity of vessel segmentation. We found a 20% improvement in Dice for vessel segmentation tasks when the epidermis mask is provided as additional information to the vessel segmentation network.
Involved external institutions
Germany (DE)How to cite
APA:
Gerl, S., Paetzold, J.C., He, H., Ezhov, I., Shit, S., Kofler, F.,... Menze, B. (2020). A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 309-319). Lima, PER: Springer Science and Business Media Deutschland GmbH.
MLA:
Gerl, Stefan, et al. "A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic Images." Proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, Lima, PER Ed. Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, Springer Science and Business Media Deutschland GmbH, 2020. 309-319.
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