Bifurcation detection in intravascular optical coherence tomography using vision transformer based deep learning.
Rongyang ZhuQingrui LiZhenyang DingKun LiuQiutong LinYin YuYuanyao LiShanshan ZhouHao KuangJunfeng JiangTiegen LiuPublished in: Physics in medicine and biology (2024)
The proposed ViT-based method enhances the performance of bifurcation detection of IVOCT images, which maintains a high correlation and consistency between the automatic detection results and the expert manual results. It is of great significance in guiding the selection of PCI treatment strategies.
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Keyphrases
- deep learning
- optical coherence tomography
- loop mediated isothermal amplification
- real time pcr
- label free
- convolutional neural network
- coronary artery disease
- artificial intelligence
- coronary artery
- acute myocardial infarction
- percutaneous coronary intervention
- atrial fibrillation
- st elevation myocardial infarction
- st segment elevation myocardial infarction
- diabetic retinopathy
- endovascular treatment
- coronary artery bypass grafting
- neural network
- quantum dots