Zobrazeno 1 - 10
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pro vyhledávání: '"HE YuTing"'
Non-ideal measurement computed tomography (NICT), which sacrifices optimal imaging standards for new advantages in CT imaging, is expanding the clinical application scope of CT images. However, with the reduction of imaging standards, the image quali
Externí odkaz:
http://arxiv.org/abs/2410.01591
Autor:
He, Yuting, Huang, Fuxiang, Jiang, Xinrui, Nie, Yuxiang, Wang, Minghao, Wang, Jiguang, Chen, Hao
Foundation model, which is pre-trained on broad data and is able to adapt to a wide range of tasks, is advancing healthcare. It promotes the development of healthcare artificial intelligence (AI) models, breaking the contradiction between limited AI
Externí odkaz:
http://arxiv.org/abs/2404.03264
Accurate segmentation of topological tubular structures, such as blood vessels and roads, is crucial in various fields, ensuring accuracy and efficiency in downstream tasks. However, many factors complicate the task, including thin local structures a
Externí odkaz:
http://arxiv.org/abs/2307.08388
The foundation models based on pre-training technology have significantly advanced artificial intelligence from theoretical to practical applications. These models have facilitated the feasibility of computer-aided diagnosis for widespread use. Medic
Externí odkaz:
http://arxiv.org/abs/2307.07246
Multiphase contrast-enhanced computed tomography (CECT) scan is clinically significant to demonstrate the anatomy at different phases. In practice, such a multiphase CECT scan inherently takes longer time and deposits much more radiation dose into a
Externí odkaz:
http://arxiv.org/abs/2306.07824
Publikováno v:
Nature Communications 15, 654 (2024)
Medical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, often tailored to specific modalities or disease types, lack generalizabi
Externí odkaz:
http://arxiv.org/abs/2304.12306
Autor:
He, Yuting, Yang, Guanyu, Ge, Rongjun, Chen, Yang, Coatrieux, Jean-Louis, Wang, Boyu, Li, Shuo
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
Learning inter-image similarity is crucial for 3D medical images self-supervised pre-training, due to their sharing of numerous same semantic regions. However, the lack of the semantic prior in metrics and the semantic-independent variation in 3D med
Externí odkaz:
http://arxiv.org/abs/2303.00874
Autor:
Yu, Linlin1 (AUTHOR), He, Yuting1 (AUTHOR), Zhou, Guofen1 (AUTHOR), Hu, Lianzhe1 (AUTHOR) lianzhehu@cqnu.edu.cn, Wang, Min2 (AUTHOR) wang_min@cqu.edu.cn
Publikováno v:
Analytical & Bioanalytical Chemistry. Nov2024, Vol. 416 Issue 27, p5993-5999. 7p.
In the field of planting fruit trees, pre-harvest estimation of fruit yield is important for fruit storage and price evaluation. However, considering the cost, the yield of each tree cannot be assessed by directly picking the immature fruit. Therefor
Externí odkaz:
http://arxiv.org/abs/2211.08743
Autor:
Wang, Kai-Ni, He, Yuting, Zhuang, Shuaishuai, Miao, Juzheng, He, Xiaopu, Zhou, Ping, Yang, Guanyu, Zhou, Guang-Quan, Li, Shuo
Reliable automatic classification of colonoscopy images is of great significance in assessing the stage of colonic lesions and formulating appropriate treatment plans. However, it is challenging due to uneven brightness, location variability, inter-c
Externí odkaz:
http://arxiv.org/abs/2207.01287