Assessing robustness of radiomic features by image perturbation
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-018-36938-4
Abstract: Image features need to be robust against differences in positioning, acquisition and segmentation to ensure reproducibility. Radiomic models that only include robust features can be used to analyse new images, whereas models with non-robust features… read more here.
Keywords: assessing robustness; image; test retest; perturbation ... See more keywords
Real-Time FPGA-Based Detection of Speeded-Up Robust Features Using Separable Convolution
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2017.2764485
Abstract: In this paper, we propose a novel architecture for efficient detection of speeded-up robust features (SURF) for field-programmable gate array (FPGA). The main benefits of the proposed architecture are in real-time low-latency performance and scalability.… read more here.
Keywords: detection; real time; speeded robust; inline formula ... See more keywords
Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.974467
Abstract: Background Using high robust radiomic features in modeling is recommended, yet its impact on radiomic model is unclear. This study evaluated the radiomic model’s robustness and generalizability after screening out low-robust features before radiomic modeling.… read more here.
Keywords: head neck; generalizability; radiomic model; robust features ... See more keywords