Predicting the pathological response to chemoradiotherapy of non-mucinous rectal cancer using pretreatment texture features based on intravoxel incoherent motion diffusion-weighted imaging
Sign Up to like & getrecommendations! Published in 2019 at "Abdominal Radiology"
DOI: 10.1007/s00261-019-02032-0
Abstract: ObjectivesTo investigate the performance of the mean parametric values and texture features based on intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) on identifying pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer… read more here.
Keywords: texture features; diffusion; response; features based ... See more keywords
Comprehensive evaluation of skeleton features-based fall detection from Microsoft Kinect v2
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01490-9
Abstract: Most of the computer vision applications for human activity recognition exploit the fact that body features calculated from a 3D skeleton increase robustness across persons and can lead to higher performance. However, their success in… read more here.
Keywords: skeleton; skeleton features; features based; fall ... See more keywords
A multi-scale features-based method to detect Oplegnathus
Sign Up to like & getrecommendations! Published in 2020 at "Information Processing in Agriculture"
DOI: 10.1016/j.inpa.2020.10.001
Abstract: Abstract It is of great significance to use underwater video and image processing technology to detect and analyze fish behaviors. In this paper, an Oplegnathus image dataset for fish behaviors study by deep learning algorithm… read more here.
Keywords: scale features; fish behaviors; method; multi scale ... See more keywords
Environment Features-Based Model for Path Loss Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3192516
Abstract: Conventionally statistical path loss models are high-dimensional data-based without utilizing specific environment features. In this letter, a novel environment features-based model (EFBM) for path loss prediction is presented. We connect the propagation environment and channel… read more here.
Keywords: environment; environment features; based model; path loss ... See more keywords