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[HTML][HTML] Review of deep learning for photoacoustic imaging
Abstract Machine learning has been developed dramatically and witnessed a lot of
applications in various fields over the past few years. This boom originated in 2009, when a …
applications in various fields over the past few years. This boom originated in 2009, when a …
Signal and image processing in biomedical photoacoustic imaging: a review
Photoacoustic imaging (PAI) is a powerful imaging modality that relies on the PA effect. PAI
works on the principle of electromagnetic energy absorption by the exogenous contrast …
works on the principle of electromagnetic energy absorption by the exogenous contrast …
An optimized denoised bias correction model with local pre-fitting function for weak boundary image segmentation
G Wang, Z Li, G Weng, Y Chen - Signal Processing, 2024 - Elsevier
The active contour model (ACM) plays a paramount part in gras** visual properties of
images and exacting targets of interest. It is overwhelming hardship for traditional ACMs to …
images and exacting targets of interest. It is overwhelming hardship for traditional ACMs to …
Recent advances in deep-learning-enhanced photoacoustic imaging
Photoacoustic imaging (PAI), recognized as a promising biomedical imaging modality for
preclinical and clinical studies, uniquely combines the advantages of optical and ultrasound …
preclinical and clinical studies, uniquely combines the advantages of optical and ultrasound …
Multi-scale optoacoustic molecular imaging of brain diseases
The ability to non-invasively visualize endogenous chromophores and exogenous probes
and sensors across the entire rodent brain with the high spatial and temporal resolution has …
and sensors across the entire rodent brain with the high spatial and temporal resolution has …
Photoacoustic imaging aided with deep learning: a review
Photoacoustic imaging (PAI) is an emerging hybrid imaging modality integrating the benefits
of both optical and ultrasound imaging. Although PAI exhibits superior imaging capabilities …
of both optical and ultrasound imaging. Although PAI exhibits superior imaging capabilities …
Segmentation of arm ultrasound images in breast cancer-related lymphedema: a database and deep learning algorithm
S Goudarzi, J Whyte, M Boily, A Towers… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Objective: Breast cancer treatment often causes the removal of or damage to lymph nodes of
the patient's lymphatic drainage system. This side effect is the origin of Breast Cancer …
the patient's lymphatic drainage system. This side effect is the origin of Breast Cancer …
A practical guide for model-based reconstruction in optoacoustic imaging
XL Deán-Ben, D Razansky - Frontiers in Physics, 2022 - frontiersin.org
Optoacoustic (OA, photoacoustic) imaging capitalizes on the low scattering of ultrasound
within biological tissues to provide optical absorption-based contrast with high resolution at …
within biological tissues to provide optical absorption-based contrast with high resolution at …
[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 …
[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 …