Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Sun, Xianfang"'
Early-stage 3D brain tumor segmentation from magnetic resonance imaging (MRI) scans is crucial for prompt and effective treatment. However, this process faces the challenge of precise delineation due to the tumors' complex heterogeneity. Moreover, en
Externí odkaz:
http://arxiv.org/abs/2404.05911
Autor:
Duman, Abdulkerim1 (AUTHOR) dumana@cardiff.ac.uk, Sun, Xianfang2 (AUTHOR) sunx2@cardiff.ac.uk, Thomas, Solly3 (AUTHOR) solly.thomas@nhs.net, Powell, James R.4 (AUTHOR) james.powell2@wales.nhs.uk, Spezi, Emiliano1 (AUTHOR)
Publikováno v:
Cancers. Oct2024, Vol. 16 Issue 19, p3351. 13p.
The deep learning-based analysis of medical images suffers from data scarcity because of high annotation costs and privacy concerns. Researchers in this domain have used transfer learning to avoid overfitting when using complex architectures. However
Externí odkaz:
http://arxiv.org/abs/2204.13280
Publikováno v:
In Computers in Biology and Medicine January 2025 184
Autor:
Pickup, David, Sun, Xianfang, Rosin, Paul L, Martin, Ralph R, Cheng, Z, Lian, Zhouhui, Aono, Masaki, Hamza, A Ben, Bronstein, A, Bronstein, M, Bu, S, Castellani, Umberto, Cheng, S, Garro, Valeria, Giachetti, Andrea, Godil, Afzal, Isaia, Luca, Han, J, Johan, Henry, Lai, L, Li, Bo, Li, C, Li, Haisheng, Litman, Roee, Liu, X, Liu, Z, Lu, Yijuan, Sun, L, Tam, G, Tatsuma, Atsushi, Ye, J
3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend our recent paper which provided a benchmark for testing non-rigid 3D s
Externí odkaz:
http://arxiv.org/abs/2003.08763
Publikováno v:
In Computers and Electronics in Agriculture November 2023 214
The traditional super-resolution methods that aim to minimize the mean square error usually produce the images with over-smoothed and blurry edges, due to the lose of high-frequency details. In this paper, we propose two novel techniques in the gener
Externí odkaz:
http://arxiv.org/abs/1911.10773
Autor:
Hu, Fu, Liu, Ying, Li, Yixin, Ma, Shuai, Qin, Jian, Song, Jun, Feng, Qixiang, Sun, Xianfang, Tang, Qian
Publikováno v:
In Journal of Industrial Information Integration August 2023 34
Publikováno v:
IEEE Access, vol. 7, pp. 177734-177744, 2019
The video super-resolution (VSR) task aims to restore a high-resolution (HR) video frame by using its corresponding low-resolution (LR) frame and multiple neighboring frames. At present, many deep learning-based VSR methods rely on optical flow to pe
Externí odkaz:
http://arxiv.org/abs/1909.10692
Autor:
Wang, Hanlin, Yuan, Fan, Xie, Zhihua, Sun, Chao, Wu, Fangda, Mikhaylov, Roman, Shen, Minghong, Yang, Jian, Zhou, You, Liang, Dongfang, Sun, Xianfang, Wu, Zhenlin, Yang, Zhiyong, Yang, Xin
Publikováno v:
In Applied Acoustics 30 March 2023 205