ArticleBiomedical optics express2020
Hybrid deep learning network for vascular segmentation in photoacoustic imaging.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Enhanced clinical photoacoustic vascular imaging through a skin localization network and adaptive weighting.Photoacoustics · 2025Article
- Unsupervised Segmentation of 3D Microvascular Photoacoustic Images Using Deep Generative Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- WSA-MP-Net: Weak-signal-attention and multi-scale perception network for microvascular extraction in optical-resolution photoacoustic microcopy.Photoacoustics · 2024Article
- Mitigating Under-Sampling Artifacts in 3D Photoacoustic Imaging Using Res-UNet Based on Digital Breast Phantom.Sensors (Basel, Switzerland) · 2023Article
- Multi-level optical angiography for photodynamic therapy.Biomedical optics express · 2023Article
- DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data.Journal of imaging · 2022Article
- Hessian filter-assisted full diameter at half maximum (FDHM) segmentation and quantification method for optical-resolution photoacoustic microscopy.Biomedical optics express · 2022Article
- Semantic segmentation of multispectral photoacoustic images using deep learning.Photoacoustics · 2022Article
- Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing.Sensors (Basel, Switzerland) · 2022Article
- Photoacoustic imaging aided with deep learning: a review.Biomedical engineering letters · 2022Review
- Deep-E: A Fully-Dense Neural Network for Improving the Elevation Resolution in Linear-Array-Based Photoacoustic Tomography.IEEE transactions on medical imaging · 2022Article
- Spatiotemporal absorption fluctuation imaging based on U-Net.Journal of biomedical optics · 2022Article
- Design of Metaheuristic Optimization-Based Vascular Segmentation Techniques for Photoacoustic Images.Contrast media & molecular imaging · 2022Article
- Advanced Ultrasound and Photoacoustic Imaging in Cardiology.Sensors (Basel, Switzerland) · 2021Review
- Translational Photoacoustic Imaging for Disease Diagnosis, Monitoring, and Surgical Guidance: introduction to the feature issue.Biomedical optics express · 2021Article
- Automatic threshold selection algorithm to distinguish a tissue chromophore from the background in photoacoustic imaging.Biomedical optics express · 2021Article
- Deep learning for biomedical photoacoustic imaging: A review.Photoacoustics · 2021Review
- Convolutional neural network for resolution enhancement and noise reduction in acoustic resolution photoacoustic microscopy.Biomedical optics express · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Photoacoustic (PA) technology has been used extensively on vessel imaging due to its capability of identifying molecular specificities and achieving high optical-diffraction-limited lateral resolution down to the cellular level. Vessel images carry essential medical information that provides guidelines for a professional diagnosis. Modern image processing techniques provide a decent contribution to vessel segmentation. However, these methods suffer from under or over-segmentation. Thus, we demonstrate both the results of adopting a fully convolutional network and U-net, and propose a hybrid network consisting of both applied on PA vessel images. Comparison results indicate that the hybrid network can significantly increase the segmentation accuracy and robustness.
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Registered trials
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