Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network
Sign Up to like & getrecommendations! Published in 2019 at "Medical image analysis"
DOI: 10.1016/j.media.2019.101533
Abstract: Grading spondylolisthesis into several stages from MRI images is challenging because detecting critical vertebrae and locating landmarks in images of different characteristics is difficult. We propose Faster Adversarial Recognition (FAR) network to accurately perform spondylolisthesis… read more here.
Keywords: network; spondylolisthesis grading; spondylolisthesis; critical vertebrae ... See more keywords
DKNet: Deep Kuzushiji Characters Recognition Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3191429
Abstract: Kuzushiji, a cursive writing style, had been extensively utilized in Japan for over a thousand years starting from the $8^{th}$ century. In 1900, Kuzushiji was not included in regular school curricula due to the change… read more here.
Keywords: kuzushiji characters; characters recognition; deep kuzushiji; recognition network ... See more keywords
SAR-PeGA: A Generation Method of Adversarial Examples for SAR Image Target Recognition Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3206261
Abstract: Deep learning (DL) is widely used in automatic target recognition (ATR) of synthetic aperture radar (SAR) images. Related researches show that DL models for SAR ATR are vulnerable to adversarial examples attack in the digital… read more here.
Keywords: adversarial examples; generation; recognition network; target recognition ... See more keywords