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 …
One-shot active learning for image segmentation via contrastive learning and diversity-based sampling
Image segmentation tasks based on deep learning usually require a large number of
labeled samples to obtain great performance of Convolutional Neural Networks (CNNs) …
labeled samples to obtain great performance of Convolutional Neural Networks (CNNs) …
Density-based one-shot active learning for image segmentation
Image segmentation is a key step in image processing tasks, which has significant
applications in computer vision field such as medical image analysis, scene understanding …
applications in computer vision field such as medical image analysis, scene understanding …
Automated analysis of fibrous cap in intravascular optical coherence tomography images of coronary arteries
Thin-cap fibroatheroma (TCFA) and plaque rupture have been recognized as the most
frequent risk factor for thrombosis and acute coronary syndrome. Intravascular optical …
frequent risk factor for thrombosis and acute coronary syndrome. Intravascular optical …
Automated segmentation of microvessels in intravascular OCT images using deep learning
Microvessels in vascular plaque are associated with plaque progression and are found in
plaque rupture and intra-plaque hemorrhage. To analyze this characteristic of vulnerability …
plaque rupture and intra-plaque hemorrhage. To analyze this characteristic of vulnerability …
A new density peak clustering algorithm with adaptive clustering center based on differential privacy
H Chen, Y Zhou, K Mei, N Wang, G Cai - IEEE Access, 2022 - ieeexplore.ieee.org
A new density peak clustering (DPC) algorithm with adaptive clustering center based on
differential privacy was proposed to solve the problems of poor adaptability of high …
differential privacy was proposed to solve the problems of poor adaptability of high …
OCTOPUS–Optical coherence tomography plaque and stent analysis software
Background and objective Compared with other imaging modalities, intravascular optical
coherence tomography (IVOCT) has significant advantages for guiding percutaneous …
coherence tomography (IVOCT) has significant advantages for guiding percutaneous …
Pericoronary Adipose tissue Radiomics from Coronary computed Tomography Angiography identifies vulnerable plaques
Pericoronary adipose tissue (PCAT) features on Computed Tomography (CT) have been
shown to reflect local inflammation and increased cardiovascular risk. Our goal was to …
shown to reflect local inflammation and increased cardiovascular risk. Our goal was to …
Deep learning segmentation of fibrous cap in intravascular optical coherence tomography images
Thin-cap fibroatheroma (TCFA) is a prominent risk factor for plaque rupture. Intravascular
optical coherence tomography (IVOCT) enables identification of fibrous cap (FC) …
optical coherence tomography (IVOCT) enables identification of fibrous cap (FC) …
Piecemeal Clustering: a Self-Driven Data Clustering Algorithm
Various approaches have been discussed in the literature for the clustering of data, such as
partitioning, hierarchical, and machine learning methods. Most of the approaches require …
partitioning, hierarchical, and machine learning methods. Most of the approaches require …