Search Results for author:
Found 3 papers, 0 papers with code
Gradient-based adaptive wavelet de-noising method for photoacoustic imaging in vivo
The proposed de-noising method provides potential to improve the SNR of PA signal under single-shot low-power laser illumination for biomedical applications in vivo.
Machine-Learning-based Colorectal Tissue Classification via Acoustic Resolution Photoacoustic Microscopy
Colorectal cancer is a deadly disease that has become increasingly prevalent in recent years.
Adaptive De-noising of Photoacoustic Signal and Image based on Modified Kalman Filter
As a burgeoning medical imaging method based on hybrid fusion of light and ultrasound, photoacoustic imaging (PAI) has demonstrated high potential in various biomedical applications recently, especially in revealing the functional and molecular information to improve diagnostic accuracy.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
