Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Miao, Shun"'
Osteoporosis is a common chronic metabolic bone disease often under-diagnosed and under-treated due to the limited access to bone mineral density (BMD) examinations, e.g. via Dual-energy X-ray Absorptiometry (DXA). This paper proposes a method to pre
Externí odkaz:
http://arxiv.org/abs/2201.01838
Knee osteoarthritis (OA) is a common degenerate joint disorder that affects a large population of elderly people worldwide. Accurate radiographic assessment of knee OA severity plays a critical role in chronic patient management. Current clinically-a
Externí odkaz:
http://arxiv.org/abs/2112.09177
Autor:
Zhou, Xiao-Yun, Lai, Bolin, Li, Weijian, Wang, Yirui, Zheng, Kang, Wang, Fakai, Lin, Chihung, Lu, Le, Huang, Lingyun, Han, Mei, Xie, Guotong, Xiao, Jing, Chang-Fu, Kuo, Harrison, Adam, Miao, Shun
Landmark localization plays an important role in medical image analysis. Learning based methods, including CNN and GCN, have demonstrated the state-of-the-art performance. However, most of these methods are fully-supervised and heavily rely on manual
Externí odkaz:
http://arxiv.org/abs/2104.14629
3D delineation of anatomical structures is a cardinal goal in medical imaging analysis. Prior to deep learning, statistical shape models that imposed anatomical constraints and produced high quality surfaces were a core technology. Prior to deep lear
Externí odkaz:
http://arxiv.org/abs/2104.02847
Autor:
Wang, Fakai, Zheng, Kang, Wang, Yirui, Zhou, Xiaoyun, Lu, Le, Xiao, Jing, Wu, Min, Kuo, Chang-Fu, Miao, Shun
Osteoporosis is a common chronic metabolic bone disease that is often under-diagnosed and under-treated due to the limited access to bone mineral density (BMD) examinations, Dual-energy X-ray Absorptiometry (DXA). In this paper, we propose a method t
Externí odkaz:
http://arxiv.org/abs/2104.01734
Autor:
Zheng, Kang, Wang, Yirui, Zhou, Xiaoyun, Wang, Fakai, Lu, Le, Lin, Chihung, Huang, Lingyun, Xie, Guotong, Xiao, Jing, Kuo, Chang-Fu, Miao, Shun
Bone mineral density (BMD) is a clinically critical indicator of osteoporosis, usually measured by dual-energy X-ray absorptiometry (DEXA). Due to the limited accessibility of DEXA machines and examinations, osteoporosis is often under-diagnosed and
Externí odkaz:
http://arxiv.org/abs/2103.13482
Autor:
Wang, Yirui, Zheng, Kang, Chang, Chi-Tung, Zhou, Xiao-Yun, Zheng, Zhilin, Huang, Lingyun, Xiao, Jing, Lu, Le, Liao, Chien-Hung, Miao, Shun
Exploiting available medical records to train high performance computer-aided diagnosis (CAD) models via the semi-supervised learning (SSL) setting is emerging to tackle the prohibitively high labor costs involved in large-scale medical image annotat
Externí odkaz:
http://arxiv.org/abs/2012.15359
Accurate vertebra localization and identification are required in many clinical applications of spine disorder diagnosis and surgery planning. However, significant challenges are posed in this task by highly varying pathologies (such as vertebral com
Externí odkaz:
http://arxiv.org/abs/2012.07947
Autor:
Zhang, Xinyu, Wang, Yirui, Cheng, Chi-Tung, Lu, Le, Harrison, Adam P., Xiao, Jing, Liao, Chien-Hung, Miao, Shun
Object detection methods are widely adopted for computer-aided diagnosis using medical images. Anomalous findings are usually treated as objects that are described by bounding boxes. Yet, many pathological findings, e.g., bone fractures, cannot be cl
Externí odkaz:
http://arxiv.org/abs/2012.04066
Autor:
Yan, Ke, Cai, Jinzheng, Jin, Dakai, Miao, Shun, Guo, Dazhou, Harrison, Adam P., Tang, Youbao, Xiao, Jing, Lu, Jingjing, Lu, Le
Radiological images such as computed tomography (CT) and X-rays render anatomy with intrinsic structures. Being able to reliably locate the same anatomical structure across varying images is a fundamental task in medical image analysis. In principle
Externí odkaz:
http://arxiv.org/abs/2012.02383