Sign Up to like & get
recommendations!
0
Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2789179
Abstract: Cardiac bi-ventricle segmentation can help physicians to obtain clinical indices, such as mass and volume of left ventricle (LV) and right ventricle (RV). In this paper, we propose a regression segmentation framework to delineate boundaries…
read more here.
Keywords:
regression segmentation;
deep regression;
regression;
ventricle ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3191643
Abstract: This paper proposed a GRU/LSTM-based deep regression model for thermal estimation of modular multilevel converter submodule. The MMC is composed of many submodules with the power semiconductors such as IGBTs and MOSFETs. The switches are…
read more here.
Keywords:
regression;
deep regression;
submodule;
gru lstm ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2020.3034559
Abstract: Depth estimation plays a significant role in industrial applications, e.g., augmented reality, robotic mapping and autonomous driving. Traditional approaches for capturing depth, such as laser or depth sensor based methods, are difficult to use in…
read more here.
Keywords:
regression;
deep regression;
stage deep;
depth ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3182343
Abstract: Deep learning (DL) has certainly improved industrial inspection, while significant progress has also been achieved in metrology with impressive results reached through their combination. However, it is not easy to deploy metrology sensors in a…
read more here.
Keywords:
regression framework;
deep regression;
methodology;
toward laboratory ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "Biomedical optics express"
DOI: 10.1364/boe.483791
Abstract: Exosomes are extracellular vesicles that serve as promising intrinsic nanoscale biomarkers for disease diagnosis and treatment. Nanoparticle analysis technology is widely used in the field of exosome study. However, the common particle analysis methods are…
read more here.
Keywords:
system;
regression based;
deep regression;
light scattering ... See more keywords