Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries
Artificial intelligence (AI) is likely to revolutionize the way medical images are analysed and
has the potential to improve the identification and analysis of vulnerable or high-risk …
has the potential to improve the identification and analysis of vulnerable or high-risk …
Automated coronary optical coherence tomography feature extraction with application to three-dimensional reconstruction
Coronary optical coherence tomography (OCT) is an intravascular, near-infrared light-based
imaging modality capable of reaching axial resolutions of 10–20 µm. This resolution allows …
imaging modality capable of reaching axial resolutions of 10–20 µm. This resolution allows …
A-line-based thin-cap fibroatheroma detection with multi-view IVOCT images using multi-task learning and contrastive learning
P Shi, J Xin, N Zheng - JOSA A, 2022 - opg.optica.org
Automatic detection of thin-cap fibroatheroma (TCFA) is essential to prevent acute coronary
syndrome. Hence, in this paper, a method is proposed to detect TCFAs by directly classifying …
syndrome. Hence, in this paper, a method is proposed to detect TCFAs by directly classifying …
Rapid lipid-laden plaque identification in intravascular optical coherence tomography imaging based on time-series deep learning
JJ Rico-Jimenez, JA Jo - Journal of Biomedical Optics, 2022 - spiedigitallibrary.org
Significance Coronary heart disease has the highest rate of death and morbidity in the
Western world. Atherosclerosis is an asymptomatic condition that is considered the primary …
Western world. Atherosclerosis is an asymptomatic condition that is considered the primary …