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Open Access Green as soon as Postprint is submitted to ZB.
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images.
Lect. Notes Comput. Sc. 12266 LNCS, 309-319 (2020)
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.
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Publication type
Article: Journal article
Document type
Scientific Article
Language
english
Publication Year
2020
HGF-reported in Year
2020
ISSN (print) / ISBN
0302-9743
e-ISSN
1611-3349
Quellenangaben
Volume: 12266 LNCS,
Pages: 309-319
Publisher
Springer
Publishing Place
Berlin [u.a.]
Institute(s)
Institute of Biological and Medical Imaging (IBMI)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-505500-001
Scopus ID
85092792329
Erfassungsdatum
2020-10-25