Deep learning method to detect plaques in IVOCT images
GA Cheimariotis, M Riga, K Toutouzas… - Future Trends in …, 2020 - Springer
Abstract Intravascular Optical Coherence Tomography (IVOCT) is a modality which gives in
vivo insight of coronaries' artery morphology. Thus, it helps diagnosis and prevention of …
vivo insight of coronaries' artery morphology. Thus, it helps diagnosis and prevention of …
A tissue classification method of IVOCT images using rectangle region cropped along the circumferential direction based on deep learning
Coronary artery disease (CAD) as a common disease is now indeed affecting the quality of
daily life of patients. Qualification analysis of the causing reasons for this kind of disease …
daily life of patients. Qualification analysis of the causing reasons for this kind of disease …
Semantic Segmentation of Atherosclerosis in Superficial Layer of IVOCT Images Using Deep Learning
Labeling the lesion tissue pixel-by-pixel is a serious process for cardiovascular disease
(CAD) doctors, which causes time-consuming and low effectiveness. We proposed an …
(CAD) doctors, which causes time-consuming and low effectiveness. We proposed an …
SE-ResNet based vulnerable plaque recognition in IVOCT images
W Qi, S Du, X Tang, A Wang - Proceedings of the 2022 9th International …, 2022 - dl.acm.org
Acute coronary syndrome (ACS) caused by vulnerable plaques can lead to sudden death.
The resolution of intravascular optical coherence tomography (IVOCT) is up to 10 μm, and it …
The resolution of intravascular optical coherence tomography (IVOCT) is up to 10 μm, and it …
Morphological operation residual blocks: enhancing 3D morphological feature representation in convolutional neural networks for semantic segmentation of medical …
C Li, C Ma, WW Lu - arXiv preprint arXiv:2103.04026, 2021 - arxiv.org
The shapes and morphology of the organs and tissues are important prior knowledge in
medical imaging recognition and segmentation. The morphological operation is a well …
medical imaging recognition and segmentation. The morphological operation is a well …