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pro vyhledávání: '"Zhang, Rongzhao"'
Existing promptable segmentation methods in the medical imaging field primarily consider either textual or visual prompts to segment relevant objects, yet they often fall short when addressing anomalies in medical images, like tumors, which may vary
Externí odkaz:
http://arxiv.org/abs/2406.07085
The annotation burden and extensive labor for gathering a large medical dataset with images and corresponding labels are rarely cost-effective and highly intimidating. This results in a lack of abundant training data that undermines downstream tasks
Externí odkaz:
http://arxiv.org/abs/2403.07247
The long-tailed distribution problem in medical image analysis reflects a high prevalence of common conditions and a low prevalence of rare ones, which poses a significant challenge in developing a unified model capable of identifying rare or novel t
Externí odkaz:
http://arxiv.org/abs/2312.04964
Autor:
Zhang, Rongzhao, Bai, Zhian, Yu, Ruoying, Pang, Wenrao, Wang, Lingyun, Zhu, Lifeng, Zhang, Xiaofan, Zhang, Huan, Hu, Weiguo
When delineating lesions from medical images, a human expert can always keep in mind the anatomical structure behind the voxels. However, although high-quality (though not perfect) anatomical information can be retrieved from computed tomography (CT)
Externí odkaz:
http://arxiv.org/abs/2310.04677
Autor:
Zhang, Rongzhao, Chung, Albert C.S.
Publikováno v:
In Medical Image Analysis October 2024 97
Autor:
Zhang, Rongzhao, Chung, Albert C. S.
When introducing advanced image computing algorithms, e.g., whole-heart segmentation, into clinical practice, a common suspicion is how reliable the automatically computed results are. In fact, it is important to find out the failure cases and identi
Externí odkaz:
http://arxiv.org/abs/1907.12244
Publikováno v:
In Ocean Engineering 1 April 2023 273
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Automatic mammogram classification and mass segmentation play a critical role in a computer-aided mammogram screening system. In this work, we present a unified mammogram analysis framework for both whole-mammogram classification and segmentation. Ou
Externí odkaz:
http://arxiv.org/abs/1808.10646
Autor:
Chu, Guang1 (AUTHOR) u3006909@connect.hku.hk, Zhang, Rongzhao2 (AUTHOR), He, Yingqing2 (AUTHOR), Ng, Chun Hown1 (AUTHOR), Gu, Min1 (AUTHOR), Leung, Yiu Yan3 (AUTHOR), He, Hong4 (AUTHOR), Yang, Yanqi1 (AUTHOR) yangyanq@hku.hk
Publikováno v:
Bioengineering (Basel). Aug2023, Vol. 10 Issue 8, p915. 15p.