Ultrasound-enhanced Unet model for quantitative photoacoustic tomography of ovarian lesions
Abstract
Quantitative photoacoustic tomography (QPAT) is a valuable tool in characterizing ovarian lesions for accurate diagnosis. However, accurately reconstructing a lesion's optical absorption distributions from photoacoustic signals measured with multiple wavelengths is challenging because it involves an ill-posed inverse problem with three unknowns: the Grüneisen parameter
This paper has been withdrawn.
