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pro vyhledávání: '"Dai, Weihang"'
Ordinal regression is a fundamental problem within the field of computer vision, with customised well-trained models on specific tasks. While pre-trained vision-language models (VLMs) have exhibited impressive performance on various vision tasks, the
Externí odkaz:
http://arxiv.org/abs/2408.03574
Atrial Fibrillation (AF) is characterized by rapid, irregular heartbeats, and can lead to fatal complications such as heart failure. The disease is divided into two sub-types based on severity, which can be automatically classified through CT volumes
Externí odkaz:
http://arxiv.org/abs/2308.06933
Optical Coherence Tomography (OCT) is a novel and effective screening tool for ophthalmic examination. Since collecting OCT images is relatively more expensive than fundus photographs, existing methods use multi-modal learning to complement limited O
Externí odkaz:
http://arxiv.org/abs/2308.00291
Deep regression is an important problem with numerous applications. These range from computer vision tasks such as age estimation from photographs, to medical tasks such as ejection fraction estimation from echocardiograms for disease tracking. Semi-
Externí odkaz:
http://arxiv.org/abs/2302.07579
Left-ventricular ejection fraction (LVEF) is an important indicator of heart failure. Existing methods for LVEF estimation from video require large amounts of annotated data to achieve high performance, e.g. using 10,030 labeled echocardiogram videos
Externí odkaz:
http://arxiv.org/abs/2210.11291
Image regression tasks for medical applications, such as bone mineral density (BMD) estimation and left-ventricular ejection fraction (LVEF) prediction, play an important role in computer-aided disease assessment. Most deep regression methods train t
Externí odkaz:
http://arxiv.org/abs/2112.11700
Akademický článek
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Akademický článek
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Autor:
Yu, Zitong, Lin, Lianshi, Ling, Bingo Wing-Kuen, Ho, Charlotte Yuk-Fan, Qing, Chunmei, Xu, Hailiang, Dai, Weihang, Liang, Yuming, Chen, Jiameng, Dai, Qingyun
Publikováno v:
2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP); 2014, p208-212, 5p
