most citedO-Net: A Convolutional Neural Network for Quantitative Photoacoustic Image Segmentation and Oximetry

22 citations · 22 across the 1 of their papers we have counts for

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1 paper

eess.IV2019★ 22 cited

O-Net: A Convolutional Neural Network for Quantitative Photoacoustic Image Segmentation and Oximetry

Geoffrey P. Luke, Kevin Hoffer-Hawlik, Austin C. Van Namen +1

Estimation of blood oxygenation with spectroscopic photoacoustic imaging is a promising tool for several biomedical applications. For this method to be quantitative, it relies on a…