[HTML][HTML] Full-view in vivo skin and blood vessels profile segmentation in photoacoustic imaging based on deep learning
Photoacoustic (PA) microscopy allows imaging of the soft biological tissue based on optical
absorption contrast and spatial ultrasound resolution. One of the major applications of PA …
absorption contrast and spatial ultrasound resolution. One of the major applications of PA …
Hybrid deep learning network for vascular segmentation in photoacoustic imaging
AY Yuan, Y Gao, L Peng, L Zhou, J Liu… - Biomedical Optics …, 2020 - opg.optica.org
Photoacoustic (PA) technology has been used extensively on vessel imaging due to its
capability of identifying molecular specificities and achieving high optical-diffraction-limited …
capability of identifying molecular specificities and achieving high optical-diffraction-limited …
[HTML][HTML] Semantic segmentation of multispectral photoacoustic images using deep learning
Photoacoustic (PA) imaging has the potential to revolutionize functional medical imaging in
healthcare due to the valuable information on tissue physiology contained in multispectral …
healthcare due to the valuable information on tissue physiology contained in multispectral …
Segmentation and quantitative analysis of photoacoustic imaging: a review
TD Le, SY Kwon, C Lee - Photonics, 2022 - mdpi.com
Photoacoustic imaging is an emerging biomedical imaging technique that combines optical
contrast and ultrasound resolution to create unprecedented light absorption contrast in deep …
contrast and ultrasound resolution to create unprecedented light absorption contrast in deep …
Segmentation of vessel structures from photoacoustic images with reliability assessment
P Raumonen, T Tarvainen - Biomedical optics express, 2018 - opg.optica.org
Photoacoustic imaging enables the imaging of soft biological tissue with combined optical
contrast and ultrasound resolution. One of the targets of interest is tissue vasculature …
contrast and ultrasound resolution. One of the targets of interest is tissue vasculature …
[HTML][HTML] A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography
Abstract Multispectral Optoacoustic Tomography (MSOT) resolves oxy-(HbO 2) and deoxy-
hemoglobin (Hb) to perform vascular imaging. MSOT suffers from gradual signal attenuation …
hemoglobin (Hb) to perform vascular imaging. MSOT suffers from gradual signal attenuation …
Deep Learning‐Based Optical‐Resolution Photoacoustic Microscopy for In Vivo 3D Microvasculature Imaging and Segmentation
Optical‐resolution photoacoustic microscopy (OR‐PAM) technique is a noninvasive imaging
technique that can be used to obtain high‐resolution images. This technique does not …
technique that can be used to obtain high‐resolution images. This technique does not …
Deep-learning image reconstruction for real-time photoacoustic system
Recent advances in photoacoustic (PA) imaging have enabled detailed images of
microvascular structure and quantitative measurement of blood oxygenation or perfusion …
microvascular structure and quantitative measurement of blood oxygenation or perfusion …
Deep learning enhanced volumetric photoacoustic imaging of vasculature in human
The development of high‐performance imaging processing algorithms is a core area of
photoacoustic tomography. While various deep learning based image processing …
photoacoustic tomography. While various deep learning based image processing …
O-Net: a convolutional neural network for quantitative photoacoustic image segmentation and oximetry
GP Luke, K Hoffer-Hawlik, AC Van Namen… - arXiv preprint arXiv …, 2019 - arxiv.org
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 an …
tool for several biomedical applications. For this method to be quantitative, it relies on an …