Semantic segmentation of multispectral photoacoustic images using deep learning

Melanie Schellenberg; Kris K. Dreher; Niklas Holzwarth; Fabian Isensee; Annika Reinke; Nicholas Schreck; Alexander Seitel; Minu D. Tizabi; Lena Maier‐Hein; Janek Gröhl

doi:10.1016/j.pacs.2022.100341

JOURNAL ARTICLE

Semantic segmentation of multispectral photoacoustic images using deep learning

Melanie Schellenberg Kris K. Dreher Niklas Holzwarth Fabian Isensee Annika Reinke Nicholas Schreck Alexander Seitel Minu D. Tizabi Lena Maier‐Hein Janek Gröhl

Year: 2022 Journal: Photoacoustics Vol: 26 Pages: 100341-100341 Publisher: Elsevier BV

DOI: 10.1016/j.pacs.2022.100341

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Keywords:

Multispectral image Segmentation Artificial intelligence Photoacoustic imaging in biomedicine Computer science Interpretability Deep learning Preprocessor Computer vision Translation (biology) Medical imaging Pattern recognition (psychology) Image segmentation Optics

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Photoacoustic and Ultrasonic Imaging

Physical Sciences → Engineering → Biomedical Engineering

Thermography and Photoacoustic Techniques

Physical Sciences → Engineering → Mechanics of Materials

Nanoplatforms for cancer theranostics

Physical Sciences → Engineering → Biomedical Engineering

Semantic segmentation of multispectral photoacoustic images using deep learning

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