Deep learning-driven quantitative spectroscopic photoacoustic imaging for segmentation and oxygen saturation estimation

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Publication Details

Journal
Ultrasonics
Published
2026-04-11
DOI
https://doi.org/10.1016/j.ultras.2026.108092
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
0.00

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Deep learning-driven quantitative spectroscopic photoacoustic imaging for segmentation and oxygen saturation estimation

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Deep learning-driven quantitative spectroscopic photoacoustic imaging for segmentation and oxygen saturation estimation

Austin Van Namen, Sidhartha Jandhyala, Geoffrey P. Luke, Kevin Hoffer-Hawlik, Ruibo Shang, Yujia Wu, Matthew O’Donnell
article en

Abstract

No abstract available for this paper.
UltrasonicsVol. 165
Dartmouth College (US), University of Washington (US)
Neukom Institute for Computational Science, Dartmouth College, Dartmouth College, National Institutes of Health, Thayer School of Engineering, Dartmouth College, National Institute of General Medical Sciences, National Institute of Biomedical Imaging and Bioengineering
Openalex Percentile: Top 24%
Photoacoustic and Ultrasonic Imaging
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