Zobrazeno 1 - 10
of 2 252
pro vyhledávání: '"TransUNet"'
Accurate segmentation of the stroke lesions using magnetic resonance imaging (MRI) is associated with difficulties due to the complicated anatomy of the brain and the different properties of the lesions. This study introduces the Neuro-TransUNet fram
Externí odkaz:
http://arxiv.org/abs/2406.06017
Autor:
Wu, Jiaze1 (AUTHOR) 20220931017@bucm.edu.cn, Li, Zijian1 (AUTHOR) lizijian202209@163.com, Cai, Yiheng2 (AUTHOR) caiyiheng@bjut.edu.cn, Liang, Hao3 (AUTHOR) lianghao@hnucm.edu.cn, Zhou, Long1 (AUTHOR) zhoulong_bucm@163.com, Chen, Ming1 (AUTHOR) cmwg185@163.com, Guan, Jing1 (AUTHOR) cmwg185@163.com
Publikováno v:
Sensors (14248220). Jul2024, Vol. 24 Issue 14, p4455. 16p.
Akademický článek
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Autor:
Sun, Guanqun, Pan, Yizhi, Kong, Weikun, Xu, Zichang, Ma, Jianhua, Racharak, Teeradaj, Nguyen, Le-Minh, Xin, Junyi
Accurate medical image segmentation is critical for disease quantification and treatment evaluation. While traditional Unet architectures and their transformer-integrated variants excel in automated segmentation tasks. However, they lack the ability
Externí odkaz:
http://arxiv.org/abs/2310.12570
Autor:
Chen, Jieneng, Mei, Jieru, Li, Xianhang, Lu, Yongyi, Yu, Qihang, Wei, Qingyue, Luo, Xiangde, Xie, Yutong, Adeli, Ehsan, Wang, Yan, Lungren, Matthew, Xing, Lei, Lu, Le, Yuille, Alan, Zhou, Yuyin
Medical image segmentation plays a crucial role in advancing healthcare systems for disease diagnosis and treatment planning. The u-shaped architecture, popularly known as U-Net, has proven highly successful for various medical image segmentation tas
Externí odkaz:
http://arxiv.org/abs/2310.07781
Autor:
Zhou, Yuyue, Knight, Jessica, Felfeliyan, Banafshe, Keen, Christopher, Hareendranathan, Abhilash Rakkunedeth, Jaremko, Jacob L.
Supervised deep learning offers great promise to automate analysis of medical images from segmentation to diagnosis. However, their performance highly relies on the quality and quantity of the data annotation. Meanwhile, curating large annotated data
Externí odkaz:
http://arxiv.org/abs/2309.09490
Publikováno v:
IEEE Access, Vol 12, Pp 31182-31196 (2024)
Breast UltraSound (BUS) imaging is a commonly used diagnostic tool in the field of counter fighting breast diseases, especially for early detection and diagnosis of breast cancer. Due to the inherent characteristics of ultrasound images such as blurr
Externí odkaz:
https://doaj.org/article/ef3bc2f3ae90490bacab581636f02f47
Akademický článek
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Akademický článek
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Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2366-2384 (2024)
In this paper, we introduce a novel deep learning method for dental panoramic image segmentation, which is crucial in oral medicine and orthodontics for accurate diagnosis and treatment planning. Traditional methods often fail to effectively combine
Externí odkaz:
https://doaj.org/article/8ec6ab8fd6bb404fbd2d3a10c34058f3