Self-supervised light fluence correction network for photoacoustic tomography based on diffusion equation
Deep learning (DL) shows promise in estimating the absorption coefficient distribution of biological tissue in quantitative photoacoustic tomography (QPAT) imaging, but its application is limited by a lack of ground truth for supervised network training. To address this issue, we propose a DL-based...
| Huvudupphovsmän: | , , , , , , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
Elsevier
2025-04-01
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| Serie: | Photoacoustics |
| Ämnen: | |
| Länkar: | http://www.sciencedirect.com/science/article/pii/S2213597925000035 |