[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 …
Another decade of photoacoustic imaging
Photoacoustic imaging—a hybrid biomedical imaging modality finding its way to clinical
practices. Although the photoacoustic phenomenon was known more than a century back …
practices. Although the photoacoustic phenomenon was known more than a century back …
Medical image segmentation review: The success of u-net
Automatic medical image segmentation is a crucial topic in the medical domain and
successively a critical counterpart in the computer-aided diagnosis paradigm. U-Net is the …
successively a critical counterpart in the computer-aided diagnosis paradigm. U-Net is the …
[HTML][HTML] Deep learning for reduced order modelling and efficient temporal evolution of fluid simulations
Reduced order modeling (ROM) has been widely used to create lower order,
computationally inexpensive representations of higher-order dynamical systems. Using …
computationally inexpensive representations of higher-order dynamical systems. Using …
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 …
Deep learning in photoacoustic imaging: a review
Significance: Photoacoustic (PA) imaging can provide structural, functional, and molecular
information for preclinical and clinical studies. For PA imaging (PAI), non-ideal signal …
information for preclinical and clinical studies. For PA imaging (PAI), non-ideal signal …
Convolutional neural network for resolution enhancement and noise reduction in acoustic resolution photoacoustic microscopy
A Sharma, M Pramanik - Biomedical Optics Express, 2020 - opg.optica.org
In acoustic resolution photoacoustic microscopy (AR-PAM), a high numerical aperture
focused ultrasound transducer (UST) is used for deep tissue high resolution photoacoustic …
focused ultrasound transducer (UST) is used for deep tissue high resolution photoacoustic …
Segmentation of medical images using an attention embedded lightweight network
Accurate segmentation of computerized tomography (CT) images is of great significance to
clinical diagnosis. However, because of the high similarity of gray values, it is a challenging …
clinical diagnosis. However, because of the high similarity of gray values, it is a challenging …
A deep neural network for real-time optoacoustic image reconstruction with adjustable speed of sound
Multispectral optoacoustic tomography is a high-resolution functional imaging modality that
can non-invasively access a broad range of pathophysiological phenomena. Real-time …
can non-invasively access a broad range of pathophysiological phenomena. Real-time …
[HTML][HTML] Niche preclinical and clinical applications of photoacoustic imaging with endogenous contrast
In the past decade, photoacoustic (PA) imaging has attracted a great deal of popularity as an
emergent diagnostic technology owing to its successful demonstration in both preclinical …
emergent diagnostic technology owing to its successful demonstration in both preclinical …