Semantic segmentation of multispectral photoacoustic images using deep learning

Semantic segmentation of multispectral photoacoustic images using deep learning

Photoacoustic (PA) imaging has the potential to revolutionize functional medical imaging in healthcare due to the valuable information on tissue physiology contained in multispectral photoacoustic measurements. Clinical translation of the technology requires conversion of the high-dimensional acquir...

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Bibliographic Details
Main Authors: Melanie Schellenberg, Kris K. Dreher, Niklas Holzwarth, Fabian Isensee, Annika Reinke, Nicholas Schreck, Alexander Seitel, Minu D. Tizabi, Lena Maier-Hein, Janek Gröhl
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Photoacoustics
Subjects:
Medical image segmentation
Deep learning
Multispectral imaging
Photoacoustics
Optoacoustics
Online Access:http://www.sciencedirect.com/science/article/pii/S2213597922000118

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http://www.sciencedirect.com/science/article/pii/S2213597922000118

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