ArticlePhotoacoustics2022
Semantic segmentation of multispectral photoacoustic images using deep learning.
Article in Photoacoustics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 34 citations in OpenAlex.
- Deep learning for optoacoustic imaging of reversibly switchable proteins: training and performance testing using simulated multispectral optoacoustic tomography images.Journal of biomedical optics · 2026Article
- High-resolution three-dimensional quantitative photoacoustic and ultrasound imaging of subcutaneous microvasculature in extremities.Biomedical optics express · 2025Article
- Anthropomorphic tissue-mimicking phantoms for oximetry validation in multispectral optical imaging.Journal of biomedical optics · 2025Article
- Enhanced clinical photoacoustic vascular imaging through a skin localization network and adaptive weighting.Photoacoustics · 2025Article
- Label-free optical microscopy with artificial intelligence: a new paradigm in pathology.Biophotonics discovery · 2025Review
- Unsupervised Segmentation of 3D Microvascular Photoacoustic Images Using Deep Generative Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Multispectral optoacoustic tomography of benign parotid tumors in vivo: a prospective observational pilot study.Scientific reports · 2024Observational
- Photoacoustic imaging plus X: a review.Journal of biomedical optics · 2024Review
- Review of Deep Learning Approaches for Interleaved Photoacoustic and Ultrasound (PAUS) Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023Article
- Deep learning assisted classification of spectral photoacoustic imaging of carotid plaques.Photoacoustics · 2023Article
- Review on ultrasound-guided photoacoustic imaging for complementary analyses of biological systemsExperimental biology and medicine (Maywood, N.J.) · 2023Review
- Photoacoustic image synthesis with generative adversarial networks.Photoacoustics · 2022Article
- Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model.Scientific reports · 2022Article
- Advanced Ultrasound and Photoacoustic Imaging in Cardiology.Sensors (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 acquired data into clinically relevant and interpretable information. In this work, we present a deep learning-based approach to semantic segmentation of multispectral photoacoustic images to facilitate image interpretability. Manually annotated photoacoustic and ultrasound imaging data are used as reference and enable the training of a deep learning-based segmentation algorithm in a supervised manner. Based on a validation study with experimentally acquired data from 16 healthy human volunteers, we show that automatic tissue segmentation can be used to create powerful analyses and visualizations of multispectral photoacoustic images. Due to the intuitive representation of high-dimensional information, such a preprocessing algorithm could be a valuable means to facilitate the clinical translation of photoacoustic imaging.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.