[HTML][HTML] Deep learning for biomedical photoacoustic imaging: A review
Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables
spatially resolved imaging of optical tissue properties up to several centimeters deep in …
spatially resolved imaging of optical tissue properties up to several centimeters deep in …
[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 …
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 …
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 …
Efficient photoacoustic image synthesis with deep learning
Photoacoustic imaging potentially allows for the real-time visualization of functional human
tissue parameters such as oxygenation but is subject to a challenging underlying …
tissue parameters such as oxygenation but is subject to a challenging underlying …
Recent advances toward clinical applications of photoacoustic microscopy: a review
Photoacoustic imaging (PAI) is an emerging technology that has been dramatically
developed in the last decade. PAI, a combination of optical illumination and ultrasound …
developed in the last decade. PAI, a combination of optical illumination and ultrasound …
High frame rate (∼ 3 Hz) circular photoacoustic tomography using single-element ultrasound transducer aided with deep learning
P Rajendran, M Pramanik - Journal of Biomedical Optics, 2022 - spiedigitallibrary.org
Significance: In circular scanning photoacoustic tomography (PAT), it takes several minutes
to generate an image of acceptable quality, especially with a single-element ultrasound …
to generate an image of acceptable quality, especially with a single-element ultrasound …
Deep learning for photoacoustic imaging: a survey
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 new model …
various fields over the past few years. This boom originated in 2009, when a new model …
Automatic cancer tissue detection using multispectral photoacoustic imaging
Purpose In the case of multispecimen study to locate cancer regions, such as in
thyroidectomy and prostatectomy, a significant labor-intensive processing is required at a …
thyroidectomy and prostatectomy, a significant labor-intensive processing is required at a …
Transfer learning for automatic cancer tissue detection using multispectral photoacoustic imaging
Pathology diagnosis is usually done by a human pathologist observing tissue stained glass
slide under a microscope. In the case of multi-specimen study to locate cancer region, such …
slide under a microscope. In the case of multi-specimen study to locate cancer region, such …