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of 7 240
pro vyhledávání: '"semantic labeling"'
Coronary artery disease (CAD) stands as the leading cause of death worldwide, and invasive coronary angiography (ICA) remains the gold standard for assessing vascular anatomical information. However, deep learning-based methods encounter challenges i
Externí odkaz:
http://arxiv.org/abs/2402.15894
Autor:
Hu, Qiongqiong1 (AUTHOR) qionghu@mail.nwpu.edu.cn, Wang, Feiting2 (AUTHOR) ys220854040283@qhu.edu.cn, Fang, Jiangtao2 (AUTHOR) ys230854100348@qhu.edu.cn, Li, Ying1 (AUTHOR) lybyp@nwpu.edu.cn
Publikováno v:
Remote Sensing. Sep2024, Vol. 16 Issue 17, p3300. 20p.
Akademický článek
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Publikováno v:
Alexandria Engineering Journal, Vol 94, Iss , Pp 235-247 (2024)
In recent years, image semantic segmentation technology has developed rapidly, but image annotation usually requires a significant amount of human and financial resources, especially for remote sensing image annotation, which can be expensive and som
Externí odkaz:
https://doaj.org/article/0233f965be344769afda65ba0e02a51b
Accurate and automated segmentation of intervertebral discs (IVDs) in medical images is crucial for assessing spine-related disorders, such as osteoporosis, vertebral fractures, or IVD herniation. We present HCA-Net, a novel contextual attention netw
Externí odkaz:
http://arxiv.org/abs/2311.12486
Coronary artery disease (CAD) is one of the primary causes leading to death worldwide. Accurate extraction of individual arterial branches on invasive coronary angiograms (ICA) is important for stenosis detection and CAD diagnosis. However, deep lear
Externí odkaz:
http://arxiv.org/abs/2308.10320
Autor:
Hu, Qiongqiong1 (AUTHOR) qionghu@mail.nwpu.edu.cn, Wang, Feiting2 (AUTHOR) wangfeiting187@163.com, Li, Ying1 (AUTHOR) lybyp@nwpu.edu.cn
Publikováno v:
Remote Sensing. May2024, Vol. 16 Issue 9, p1478. 19p.
Coronary artery disease (CAD) is one of the primary causes leading deaths worldwide. The presence of atherosclerotic lesions in coronary arteries is the underlying pathophysiological basis of CAD, and accurate extraction of individual arterial branch
Externí odkaz:
http://arxiv.org/abs/2305.12327
Autor:
Bromley, Dennis, Setlur, Vidya
Relevant language describing visual features in charts can be useful for authoring captions and summaries about the charts to help with readers' takeaways. To better understand the interplay between concepts that describe visual features and the sema
Externí odkaz:
http://arxiv.org/abs/2308.01370