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Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Gerl, O.; Paetzold, J.; hailonghe; Ezhov, I.; Shit, S.; Kofler, F.; bayat; Tetteh, G.; Ntziachristos, V.; Menze, B.
Titel:
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images.
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 med...     »
Stichworte:
loss,computer vision,optoacoustics,machine learning,medical imaging
Zeitschriftentitel:
arXiv preprint arXiv:2007.05324
Jahr:
2020
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